ORCID Profile
0000-0003-0973-3756
Current Organisations
Jilin University
,
National University of Singapore
,
Tsinghua University
,
Chalmers University of Technology
,
Institute of Bioorganic Chemistry (PAN)
,
Ludwig-Maximilians-Universitat Munchen
,
Technische Universität München Chemie-Department
,
IIMCB
,
Institute of Biochemistry and Biophysics
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
Research Topics
In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Top 5 Research Topics
ANZSRC Field of Research (FoR)
Civil Engineering | Transport Engineering | Transport Planning |
ANZSRC Socio-Economic Objective (SEO)
Related Links
Publications
Optimization of electric bus scheduling considering stochastic volatilities in trip travel time and energy consumption
Publisher: Wiley
Date: 04-05-2021
DOI: 10.1111/MICE.12684
Abstract: This paper develops a vehicle scheduling method for the electric bus (EB) route considering stochastic volatilities in trip travel time and energy consumption. First, a model for estimating the trip energy consumption is proposed based on field‐collected data, and the probability distribution function of trip energy consumption considering the stochastic volatility is determined. Second, we propose the charging strategy to recharge buses during their idle times. The impacts of stochastic volatilities on the departure time, the idle time, the battery state of charge, and the energy consumption of each trip are analyzed. Third, an optimization model is built with the objectives of minimizing the expectation of delays in trip departure times, the summation of energy consumption expectations, and bus procurement costs. Finally, a real bus route is taken as an ex le to validate the proposed method. Results show that reasonable idle times can be generated by optimizing the scheduling plan, and it is helpful to stop the accumulation of stochastic volatilities. Collaboratively optimizing vehicle scheduling and charging plans can reduce the EB fleet and delay times while meeting the route operation needs.
Dynamic headway control for high‐frequency bus line based on speed guidance and intersection signal adjustment
Publisher: Wiley
Date: 30-04-2019
DOI: 10.1111/MICE.12446
Minimizing the stop time of private vehicles at intersections with LRT signal priority systems
Publisher: Elsevier BV
Date: 2020
QRA Model‐Based Risk Impact Analysis of Traffic Flow in Urban Road Tunnels
Publisher: Wiley
Date: 05-05-2011
DOI: 10.1111/J.1539-6924.2011.01624.X
Abstract: Road tunnels are vital infrastructures providing underground vehicular passageways for commuters and motorists. Various quantitative risk assessment (QRA) models have recently been developed and employed to evaluate the safety levels of road tunnels in terms of societal risk (as measured by the F/N curve). For a particular road tunnel, traffic volume and proportion of heavy goods vehicles (HGVs) are two adjustable parameters that may significantly affect the societal risk, and are thus very useful in implementing risk reduction solutions. To evaluate the impact the two contributing factors have on the risk, this article first presents an approach that employs a QRA model to generate societal risk for a series of possible combinations of the two factors. Some combinations may result in F/N curves that do not fulfill a predetermined safety target. This article thus proposes an "excess risk index" in order to quantify the road tunnel risk magnitudes that do not pass the safety target. The two-factor impact analysis can be illustrated by a contour chart based on the excess risk. Finally, the methodology has been applied to Singapore's KPE road tunnel and the results show that in terms of meeting the test safety target for societal risk, the traffic capacity of the tunnel should be no more than 1,200 vehs/h/lane, with a maximum proportion of 18% HGVs.
The cooperative sorting strategy for connected and automated vehicle platoons
Publisher: Elsevier BV
Date: 02-2021
A Context-Aware Framework for Risky Driving Behavior Evaluation Based on Trajectory Data
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Estimating cycleway capacity and bicycle equivalent unit for electric bicycles
Publisher: Elsevier BV
Date: 07-2015
Ship collision risk assessment for the Singapore Strait
Publisher: Elsevier BV
Date: 11-2011
DOI: 10.1016/J.AAP.2011.05.022
Abstract: The Singapore Strait is considered as the bottleneck and chokepoint of the shipping routes connecting the Indian and the Pacific Ocean. Therefore, the ship collision risk assessment is of significant importance for ships passing through the narrow, shallow, and busy waterway. In this paper, three ship collision risk indices are initially proposed to quantitatively assess the ship collision risks in the Strait: index of speed dispersion, degree of acceleration and deceleration, and number of fuzzy ship domain overlaps. These three risk indices for the Singapore Strait are estimated by using the real-time ship locations and sailing speeds provide by Lloyd's MIU automatic identification system (AIS). Based on estimation of these three risk indices, it can be concluded that Legs 4W, 5W, 11E, and 12E are the most risky legs in the Strait. Therefore, the ship collision risk reduction solutions should be prioritized being implemented in these four legs. This study also finds that around 25% of the vessels sail with a speed in excess of the speed limit, which results in higher potentials of ship collision. Analysis indicates that the safety level would be significantly improved if all the vessels follow the passage guidelines.
Estimation of the perceived value of transit time for containerized cargoes
Publisher: Elsevier BV
Date: 08-2015
Cruise itinerary schedule design
Publisher: Informa UK Limited
Date: 17-04-2017
Data and Code Disclosure and Sharing Policy of communications in transportation research
Publisher: Elsevier BV
Date: 12-2022
Optimal Container Routing in Liner Shipping Networks Considering Repacking 20 ft Containers into 40 ft Containers
Publisher: Hindawi Limited
Date: 2017
DOI: 10.1155/2017/8608032
Abstract: The volume of a 40 ft container is twice as large as that of a 20 ft container. However, the handling cost (loading, unloading, and transshipment) of a 40 ft container is much lower than twice the corresponding handling cost of two 20 ft containers. Enlightened by this observation, we propose a novel container routing with repacking problem in liner shipping, where two 20 ft containers can be repacked to a 40 ft container in order to reduce the handling cost. We develop a mixed-integer linear programming model that formulates the routing decisions and the repacking decisions in a holistic manner. An illustrative ex le is reported to demonstrate the applicability of the model. Results show that the benefit of repacking is the most significant when containers are transshipped several times.
Lifecycle Cost Optimization for Electric Bus Systems With Different Charging Methods: Collaborative Optimization of Infrastructure Procurement and Fleet Scheduling
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2023
Design and implementation of a quantitative risk assessment software tool for Singapore road tunnels
Publisher: Elsevier BV
Date: 05-2011
Liner Ship Fleet Deployment with Uncertain Demand
Publisher: SAGE Publications
Date: 2014
DOI: 10.3141/2409-07
Dynamic characteristics of traffic flow with consideration of pedestrians’ road-crossing behavior
Publisher: Elsevier BV
Date: 09-2013
Analyses and Implications of Accidents in Singapore Strait
Publisher: SAGE Publications
Date: 2012
DOI: 10.3141/2273-13
Abstract: This paper aims to estimate the lower and upper bounds of the number of accidents that have occurred in the Singapore Strait over the past 10 years on the basis of two maritime accident databases: Global Integrated Shipping Information System and Lloyd's List Intelligence. After an evaluation of the incompleteness of these two databases, a novel and tangible method is proposed to estimate the lower and upper bounds of the number of accidents by using Bayesian analysis under mild assumptions. This method produces the following three important results. First, the annual maritime accident occurrence frequency in the Singapore Strait ranges from 17.6 to 33.0 that is, less than 0.005% of vessels could be involved in an accident when passing through the Strait. Second, the reporting performances of both maritime accident databases to the Singapore Strait are less than 62.5%. In other words, more than 37.5% of maritime accidents are not included in the database. Third, ship collisions account for more than 50% of all types of accidents this result indicates that a high priority should be assigned to reducing the occurrence of ship collisions by enhancing the navigational systems in the Singapore Strait.
State of charge-dependent aging mechanisms in graphite/Li(NiCoAl)O2 cells: Capacity loss modeling and remaining useful life prediction
Publisher: Elsevier BV
Date: 12-2019
Ship type decision considering empty container repositioning and foldable containers
Publisher: Elsevier BV
Date: 12-2017
An Overview of Maritime Waterway Quantitative Risk Assessment Models
Publisher: Wiley
Date: 28-10-2011
DOI: 10.1111/J.1539-6924.2011.01697.X
Abstract: The safe navigation of ships, especially in narrow shipping waterways, is of the utmost concern to researchers as well as maritime authorities. Many researchers and practitioners have conducted studies on risk assessment for maritime transportation and have proposed risk reduction/control measures accordingly. This article provides a detailed review and assessment of various quantitative risk assessment models for maritime waterways. Eighty-seven academic papers and/or project reports are summarized and discussed. The review then proceeds to analyze the frequency and consequence estimation models separately. It should be pointed out that we further summarize the advantages and disadvantages of frequency estimation models and provide recommendations for their application. From the overview, we find that the quantification of the impact of human error is of great importance and should be considered in future studies. Possible solutions are also proposed in the discussions.
Novel Crash Surrogate Measure for Freeways
Publisher: American Society of Civil Engineers (ASCE)
Date: 08-2020
Assessment of Expressway Traffic Safety Using Gaussian Mixture Model based on Time to Collision
Publisher: Springer Science and Business Media LLC
Date: 12-2011
On the stochastic fundamental diagram for freeway traffic: Model development, analytical properties, validation, and extensive applications
Publisher: Elsevier BV
Date: 10-2017
A probabilistic quantitative risk assessment model for the long-term work zone crashes
Publisher: Elsevier BV
Date: 11-2010
DOI: 10.1016/J.AAP.2010.05.007
Abstract: Work zones especially long-term work zones increase traffic conflicts and cause safety problems. Proper casualty risk assessment for a work zone is of importance for both traffic safety engineers and travelers. This paper develops a novel probabilistic quantitative risk assessment (QRA) model to evaluate the casualty risk combining frequency and consequence of all accident scenarios triggered by long-term work zone crashes. The casualty risk is measured by the in idual risk and societal risk. The in idual risk can be interpreted as the frequency of a driver assenger being killed or injured, and the societal risk describes the relation between frequency and the number of casualties. The proposed probabilistic QRA model consists of the estimation of work zone crash frequency, an event tree and consequence estimation models. There are seven intermediate events--age (A), crash unit (CU), vehicle type (VT), alcohol (AL), light condition (LC), crash type (CT) and severity (S)--in the event tree. Since the estimated value of probability for some intermediate event may have large uncertainty, the uncertainty can thus be characterized by a random variable. The consequence estimation model takes into account the combination effects of speed and emergency medical service response time (ERT) on the consequence of work zone crash. Finally, a numerical ex le based on the Southeast Michigan work zone crash data is carried out. The numerical results show that there will be a 62% decrease of in idual fatality risk and 44% reduction of in idual injury risk if the mean travel speed is slowed down by 20%. In addition, there will be a 5% reduction of in idual fatality risk and 0.05% reduction of in idual injury risk if ERT is reduced by 20%. In other words, slowing down speed is more effective than reducing ERT in the casualty risk mitigation.
Modelling correlation degree between two adjacent signalised intersections for dynamic subarea partition
Publisher: Institution of Engineering and Technology (IET)
Date: 03-2013
Customized bus route design with pickup and delivery and time windows: Model, case study and comparative analysis
Publisher: Elsevier BV
Date: 04-2021
Overbooking and delivery-delay-allowed strategies for container slot allocation
Publisher: Elsevier BV
Date: 02-2019
Robust bus bridging service design under rail transit system disruptions
Publisher: Elsevier BV
Date: 12-2019
Demand control model with combinatorial incentives and surcharges for one-way carsharing operation
Publisher: Elsevier BV
Date: 04-2021
Emerging Mobility Systems [Guest Editorial]
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2019
Multi-Agent Fuzzy-Based Transit Signal Priority Control for Traffic Network Considering Conflicting Priority Requests
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2022
Station choice for Australian commuter rail lines: Equilibrium and optimal fare design
Publisher: Elsevier BV
Date: 04-2017
Limitations and suggestions of electric transit charge scheduling
Publisher: IOP Publishing
Date: 04-2022
Abstract: A major factor hindering the popularization of electric buses (EBs) in the current automotive market is the high ownership cost of batteries and its significant upfront investment. For the daily maintenance of electric fleets, the amortized battery replacement cost is at least six times the charging cost. Thus, ensuring the healthy operation of the battery and prolonging the cycle life are some of the most concerned issues of the bus operators. In order to achieve the best operating mode, the operators are required to formulate an effective charging schedule with minimized battery wear. However, little quantitative formulation exists in prior literature to consider battery wear in bus charge scheduling. In this paper, a general formula is presented for battery wear cost consideration in charge scheduling based on the emerging literature. Then, the existing charge scheduling model is improved based on the proposed approach. A case study illustrates the significant difference in operating costs between charging plans developed with or without consideration of battery wear. The focus of this commentary is to present the crucial factors to improve the efficiency of EB operations and help make the charge scheduling models more realistic.
Modeling and field experiments on autonomous vehicle lane changing with surrounding human‐driven vehicles
Publisher: Wiley
Date: 18-02-2020
DOI: 10.1111/MICE.12540
Abstract: Autonomous vehicle (AV) technology is widely studied in both industrial and academic communities since it is regarded as a promising means for improving transportation safety and efficiency. Lane changing is a critical link for higher‐level AV operations. However, few studies on AV lane changing consider the dynamics of surrounding vehicles, particularly in a mixed traffic environment including human‐driven vehicles (HVs). Therefore, this article presents a dynamic lane‐changing model for AV incorporating human driver behavior in mixed traffic. The proposed model includes four key components: car following (and lane keeping), lane‐changing decision, dynamic trajectory generation, and model predictive control (MPC)‐based trajectory tracking. AV longitudinal control algorithm is also depicted in detail in this article. Field experiments are conducted on a large‐scale test track to test and validate the proposed model. An AV and three HVs are used in the lane‐changing experiments. Different human driver behaviors are considered in the experiment settings. Experimental results show that the proposed lane‐changing model can complete lane‐changing maneuvers efficiently when HVs are cooperative and can also robustly abort them when HVs are uncooperative. Compared with the measured human lane‐changing maneuvers, AV lane‐changing maneuvers from the proposed model are more comfortable and safer.
Cluster-based lognormal distribution model for accident duration
Publisher: Informa UK Limited
Date: 06-01-2015
Guest Editorial: Traffic Theory and Modelling in the Era of Artificial Intelligence and Big Data ‐ Selected Papers from World Congress for Transport Research (WCTR) 2019
Publisher: Institution of Engineering and Technology (IET)
Date: 07-2020
Estimation of rear-end vehicle crash frequencies in urban road tunnels
Publisher: Elsevier BV
Date: 09-2012
DOI: 10.1016/J.AAP.2012.01.025
Abstract: According to The Handbook of Tunnel Fire Safety, over 90% (55 out of 61 cases) of fires in road tunnels are caused by vehicle crashes (especially rear-end crashes). It is thus important to develop a proper methodology that is able to estimate the rear-end vehicle crash frequency in road tunnels. In this paper, we first analyze the time to collision (TTC) data collected from two road tunnels of Singapore and conclude that Inverse Gaussian distribution is the best-fitted distribution to the TTC data. An Inverse Gaussian regression model is hence used to establish the relationship between the TTC and its contributing factors. We then proceed to introduce a new concept of exposure to traffic conflicts as the mean sojourn time in a given time period that vehicles are exposed to dangerous scenarios, namely, the TTC is lower than a predetermined threshold value. We further establish the relationship between the proposed exposure to traffic conflicts and crash count by using negative binomial regression models. Based on the limited data s les used in this study, the negative binomial regression models perform well although a further study using more data is needed.
Safety Evaluation for Expressways: A Comparative Study for Macroscopic and Microscopic Indicators
Publisher: Informa UK Limited
Date: 26-11-2013
DOI: 10.1080/15389588.2013.782400
Abstract: This article is to assess the performance of 3 macroscopic safety indicators (speed, speed dispersion, and volume) and two microscopic potential crash risks (time to collision and deceleration rate to avoid crash) on safety evaluation for expressways. Field data were collected at 3 locations for 4 different time periods on an expressway in Beijing, China. The speed of each vehicle, headway time, and vehicle length were recorded by a traffic management system. The 5 safety indicators were thus calibrated on the basis of the collected data. Further, consistency and comparative analyses were applied to assess the performance of indicators. According to the analyses, speed dispersion was a better predictor of the two microscopic potential risks compared to the two macroscopic indicators. Speed dispersion is recommended to proactively assess road safety because (1) it provides consistent risk evaluation with microscopic potential risks and (2) it makes data collection easier.
The Impact of Increasing Minor Arterial Flow on Arterial Coordination: An Analysis Based on MAXBAND Model
Publisher: Springer Singapore
Date: 2020
Development of a non-parametric classifier: Effective identification, algorithm, and applications in port state control for maritime transportation
Publisher: Elsevier BV
Date: 10-2019
Error Measures for Trajectory Estimations With Geo-Tagged Mobility Sample Data
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2019
On the Impact of Emergency Incidents on the Freeway: A Full Velocity Difference (FVD) Model Based Four-Lane Traffic Dynamics Simulation
Publisher: Springer Singapore
Date: 2019
Shore Power Price Competition Between Ports
Publisher: Springer Singapore
Date: 2020
Towards Eliminating Overreacted Vehicular Maneuvers: Part I Model Development and Calibration
Publisher: Springer Singapore
Date: 2019
Emission Evaluation of Marine Traffic
Publisher: Springer Singapore
Date: 2020
Towards Eliminating Overreacted Vehicular Maneuvers: Part II Comparative Analyses
Publisher: Springer Singapore
Date: 2019
Analysis of the relationship between aggregated traffic volume and traffic conflicts on expressways
Publisher: Informa UK Limited
Date: 20-07-2015
Mixed-Integer Linear Programming Models for Teaching Assistant Assignment and Extensions
Publisher: Hindawi Limited
Date: 2017
DOI: 10.1155/2017/9057947
Abstract: In this paper, we develop mixed-integer linear programming models for assigning the most appropriate teaching assistants to the tutorials in a department. The objective is to maximize the number of tutorials that are taught by the most suitable teaching assistants, accounting for the fact that different teaching assistants have different capabilities and each teaching assistant’s teaching load cannot exceed a maximum value. Moreover, with optimization models, the teaching load allocation, a time-consuming process, does not need to be carried out in a manual manner. We have further presented a number of extensions that capture more practical considerations. Extensive numerical experiments show that the optimization models can be solved by an off-the-shelf solver and used by departments in universities.
On the Impact of Prior Experiences in Car-Following Models: Model Development, Computational Efficiency, Comparative Analyses, and Extensive Applications
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2023
Can language models be used for real-world urban-delivery route optimization?
Publisher: Elsevier BV
Date: 11-2023
Development of a maximum likelihood regression tree-based model for predicting subway incident delay
Publisher: Elsevier BV
Date: 08-2015
How machine learning informs ride-hailing services: A survey
Publisher: Elsevier BV
Date: 12-2022
Cruise service planning considering berth availability and decreasing marginal profit
Publisher: Elsevier BV
Date: 2017
A probabilistic quantitative risk assessment model for fire in road tunnels with parameter uncertainty
Publisher: Inderscience Publishers
Date: 2011
Optimal Allocation of Tunnel Safety Provisions Based on a Quantitative Risk Assessment Model
Publisher: Hindawi Limited
Date: 2016
DOI: 10.1155/2016/9628095
Abstract: This paper addresses the issue of optimally selecting the tunnel safety provisions. Tunnel safety provisions are the assets of urban road tunnels which are installed and implemented to reduce the tunnel risks, which are basically selected by expert judgment in practice. An optimization model is proposed to obtain the optimal solution for the selection of tunnel safety provisions. The objective function is to minimize the life cycle costs of tunnel safety provisions, which is subject to the requirements for tunnel safety provisions and the safety targets. Finally, by taking advantage of the special structure of the optimization model, a Bi-Section Search and Bound Algorithm (BSSBA) is designed to efficiently solve the problem.
Dynamic driving environment complexity quantification method and its verification
Publisher: Elsevier BV
Date: 06-2021
Maximum Likelihood Method of Speed Estimation from Single Loop Outputs
Publisher: American Society of Civil Engineers
Date: 05-01-2009
Predictability of Vehicle Fuel Consumption Using LSTM: Findings from Field Experiments
Publisher: American Society of Civil Engineers (ASCE)
Date: 05-2023
Safety Fundamental Diagram on Freeways
Publisher: American Society of Civil Engineers
Date: 13-07-2015
A Modelling Framework of Drone Deployment for Monitoring Air Pollution from Ships
Publisher: Springer International Publishing
Date: 12-06-2018
Will higher traffic flow lead to more traffic conflicts? A crash surrogate metric based analysis
Publisher: Public Library of Science (PLoS)
Date: 07-08-2017
Development and applications of a simulation model for vessels in the Singapore Straits
Publisher: Elsevier BV
Date: 07-2012
Quantitative Risk Assessment Modeling for Nonhomogeneous Urban Road Tunnels
Publisher: Wiley
Date: 04-10-2010
DOI: 10.1111/J.1539-6924.2010.01503.X
Abstract: Urban road tunnels provide an increasingly cost-effective engineering solution, especially in compact cities like Singapore. For some urban road tunnels, tunnel characteristics such as tunnel configurations, geometries, provisions of tunnel electrical and mechanical systems, traffic volumes, etc. may vary from one section to another. These urban road tunnels that have characterized nonuniform parameters are referred to as nonhomogeneous urban road tunnels. In this study, a novel quantitative risk assessment (QRA) model is proposed for nonhomogeneous urban road tunnels because the existing QRA models for road tunnels are inapplicable to assess the risks in these road tunnels. This model uses a tunnel segmentation principle whereby a nonhomogeneous urban road tunnel is ided into various homogenous sections. In idual risk for road tunnel sections as well as the integrated risk indices for the entire road tunnel is defined. The article then proceeds to develop a new QRA model for each of the homogeneous sections. Compared to the existing QRA models for road tunnels, this section-based model incorporates one additional top event-toxic gases due to traffic congestion-and employs the Poisson regression method to estimate the vehicle accident frequencies of tunnel sections. This article further illustrates an aggregated QRA model for nonhomogeneous urban tunnels by integrating the section-based QRA models. Finally, a case study in Singapore is carried out.
Cumulative prospect theory coupled with multi-attribute decision making for modeling travel behavior
Publisher: Elsevier BV
Date: 06-2021
Weekly container delivery patterns in liner shipping planning models
Publisher: Informa UK Limited
Date: 06-03-2017
A recurrent neural network based microscopic car following model to predict traffic oscillation
Publisher: Elsevier BV
Date: 11-2017
A piecewise trajectory optimization model for connected automated vehicles: Exact optimization algorithm and queue propagation analysis
Publisher: Elsevier BV
Date: 12-2018
Trial-and-error train fare design scheme for addressing boarding/alighting congestion at CBD stations
Publisher: Elsevier BV
Date: 12-2018
Alu-repeat-induced deletions within theNCF2gene causing p67-phox-deficient chronic granulomatous disease (CGD)
Publisher: Hindawi Limited
Date: 02-2010
DOI: 10.1002/HUMU.21156
Abstract: Mutations that impair expression or function of the components of the phagocyte NADPH oxidase complex cause chronic granulomatous disease (CGD), which is associated with life-threatening infections and dysregulated granulomatous inflammation. In five CGD patients from four consanguineous families of two different ethnic backgrounds, we found similar genomic homozygous deletions of 1,380 bp comprising exon 5 of NCF2, which could be traced to Alu-mediated recombination events. cDNA sequencing showed in-frame deletions of phase zero exon 5, which encodes one of the tandem repeat motifs in the tetratricopeptide (TPR4) domain of p67-phox. The resulting shortened protein (p67Delta5) had a 10-fold reduced intracellular half-life and was unable to form a functional NADPH oxidase complex. No dominant negative inhibition of oxidase activity by p67Delta5 was observed. We conclude that Alu-induced deletion of the TPR4 domain of p67-phox leads to loss of function and accelerated degradation of the protein, and thus represents a new mechanism causing p67-phox-deficient CGD.
Simulation Analyses of Two On-Ramp Lane Arrangements
Publisher: Springer Science and Business Media LLC
Date: 10-2020
Unmanned aerial vehicle scheduling problem for traffic monitoring
Publisher: Elsevier BV
Date: 08-2018
Deep adaptive control: Deep reinforcement learning-based adaptive vehicle trajectory control algorithms for different risk levels
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Rural bus route design problem: Model development and case studies
Publisher: Springer Science and Business Media LLC
Date: 12-2014
Sustainable and Resilient Transport Infrastructure
Publisher: Hindawi Limited
Date: 14-03-2021
DOI: 10.1155/2021/1576315
An Origin-Destination Demands-Based Multipath-Band Approach to Time-Varying Arterial Coordination
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2022
Optimization of Electric Bus Scheduling for Mixed Passenger and Freight Flow in an Urban-Rural Transit System
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Automation and connectivity of electric vehicles: Energy boon or bane?
Publisher: Elsevier BV
Date: 08-2022
On the Impact of Cooperative Autonomous Vehicles in Improving Freeway Merging: A Modified Intelligent Driver Model-Based Approach
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2016
A Modified Full Velocity Difference Model with Acceleration and Deceleration Confinement: Calibrations, Validations, and Scenario Analyses
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Evaluation of Roundabout Capacity Models: An Empirical Case Study
Publisher: American Society of Civil Engineers (ASCE)
Date: 12-2016
Replacing urban trucks via ground–air cooperation
Publisher: Elsevier BV
Date: 12-2022
A Dynamic Model Averaging for the Discovery of Time-Varying Weather-Cycling Patterns
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2021
Public transport trajectory planning with probabilistic guarantees
Publisher: Elsevier BV
Date: 09-2020
Eco-driving control for connected and automated electric vehicles at signalized intersections with wireless charging
Publisher: Elsevier BV
Date: 2021
Improving efficiency at highway T-junctions with connected and automated vehicles
Publisher: Informa UK Limited
Date: 27-11-2018
A note on hotspot identification for urban expressways
Publisher: Elsevier BV
Date: 07-2014
The Bacteroidetes Q-Rule: Pyroglutamate in Signal Peptidase I Substrates
Publisher: Frontiers Media SA
Date: 03-2018
Minimizing the Average Delay at Intersections via Presignals and Speed Control
Publisher: Hindawi Limited
Date: 29-05-2018
DOI: 10.1155/2018/4121582
Abstract: Urban intersections have been well recognized as bottlenecks of urban transport systems. It is thus important to propose and implement strategies for increasing the efficiency of public and private transportation systems as a whole. In order to achieve this goal, an additional signal could be set up near the intersection to give priority to buses through stopping vehicles in advance of the main intersection as a presignal. It has been increasingly popular in urban cities. While presignals indeed reduce the average delay per traveler, they cause extra stops of private vehicles, which might compromise the overall efficiency, safety, and sustainability. This paper aims to propose a model to improve presignals by reducing the vehicles’ number of stops behind the presignals. By applying the method, vehicles would be able to adjust their speed based on traffic conditions as well as buses’ speed and approach. Numerical analyses have been conducted to determine the conditions required for implementing this method.
Model on empirically calibrating stochastic traffic flow fundamental diagram
Publisher: Elsevier BV
Date: 12-2021
On the design and operational performance of waiting areas in at-grade signalized intersections: an overview
Publisher: Informa UK Limited
Date: 22-03-2018
Collaborative mechanisms for berth allocation
Publisher: Elsevier BV
Date: 08-2015
On the fundamental diagram for freeway traffic: A novel calibration approach for single-regime models
Publisher: Elsevier BV
Date: 03-2015
Potential crash risks of expressway on-ramps and off-ramps: A case study in Beijing, China
Publisher: Elsevier BV
Date: 12-2014
What's next for battery-electric bus charging systems
Publisher: Elsevier BV
Date: 12-2023
Modelling follow up time at a single-lane roundabout
Publisher: Elsevier BV
Date: 04-2014
Stop-Line Setback at a Signalized Roundabout: A Novel Concept for Traffic Operations
Publisher: American Society of Civil Engineers (ASCE)
Date: 03-2016
The adverse impact of electric vehicles on traffic congestion in the morning commute
Publisher: Elsevier BV
Date: 04-2021
Revealing psychological inertia in mode shift behavior and its quantitative influences on commuting trips
Publisher: Elsevier BV
Date: 05-2020
Bus dwell time estimation at bus bays: A probabilistic approach
Publisher: Elsevier BV
Date: 11-2013
Estimation of number of fatalities caused by toxic gases due to fire in road tunnels
Publisher: Elsevier BV
Date: 2013
DOI: 10.1016/J.AAP.2012.06.010
Abstract: The quantitative risk assessment (QRA) is one of the explicit requirements under the European Union (EU) Directive (2004/54/EC). As part of this, it is essential to be able to estimate the number of fatalities in different accident scenarios. In this paper, a tangible methodology is developed to estimate the number of fatalities caused by toxic gases due to fire in road tunnels by incorporating traffic flow and the spread of fire in tunnels. First, a deterministic queuing model is proposed to calculate the number of people at risk, by taking into account tunnel geometry, traffic flow patterns, and incident response plans for road tunnels. Second, the Fire Dynamics Simulator (FDS) is used to obtain the temperature and concentrations of CO, CO(2), and O(2). By taking advantage of the additivity of the fractional effective dose (FED) method, fatality rates for different locations in given time periods can be estimated. An illustrative case study is carried out to demonstrate the applicability of the proposed methodology.
Minimax Regret Model for Liner Shipping Fleet Deployment with Uncertain Demand
Publisher: SAGE Publications
Date: 2016
DOI: 10.3141/2549-06
Abstract: This paper proposes a minimax regret model for liner shipping fleet deployment with uncertain demand. The minimax regret model does not need the probability distribution function of the demand, and the model is consistent with how network planners are evaluated. However, the model is large because of the incorporation of all possible demand scenarios. A dynamic scenario inclusion method is proposed for efficiently solving the minimax model with only a small subset of the demand scenarios. A case study based on an Asia–Europe–Oceania liner shipping network demonstrates the applicability of the proposed model and method.
Improved Pedestrian Sight-Distance Needs at Railroad-Highway Grade Crossings
Publisher: American Society of Civil Engineers (ASCE)
Date: 07-2017
A diverse, transdisciplinary, and high-quality journal in the era of digital revolution
Publisher: Wiley
Date: 26-06-2020
DOI: 10.1111/MICE.12598
Reproducible generation of experimental data sample for calibrating traffic flow fundamental diagram
Publisher: Elsevier BV
Date: 05-2018
Diverging effects of subjective prospect values of uncertain time and money
Publisher: Elsevier BV
Date: 12-2021
On the Role of Battery Capacity Fading Mechanism in the Lifecycle Cost of Electric Bus Fleet
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2021
Blockchain Applications in Shipping, Transportation, Logistics, and Supply Chain
Publisher: Springer Singapore
Date: 2019
Tug scheduling for hinterland barge transport: A branch-and-price approach
Publisher: Elsevier BV
Date: 02-2018
The economic importance of the Straits of Malacca and Singapore: An extreme-scenario analysis
Publisher: Elsevier BV
Date: 2012
In-depth analysis of drivers' merging behavior and rear-end crash risks in work zone merging areas
Publisher: Elsevier BV
Date: 04-2015
DOI: 10.1016/J.AAP.2015.02.002
Abstract: This study investigates the drivers' merging behavior and the rear-end crash risk in work zone merging areas during the entire merging implementation period from the time of starting a merging maneuver to that of completing the maneuver. With the merging traffic data from a work zone site in Singapore, a mixed probit model is developed to describe the merging behavior, and two surrogate safety measures including the time to collision (TTC) and deceleration rate to avoid the crash (DRAC) are adopted to compute the rear-end crash risk between the merging vehicle and its neighboring vehicles. Results show that the merging vehicle has a bigger probability of completing a merging maneuver quickly under one of the following situations: (i) the merging vehicle moves relatively fast (ii) the merging lead vehicle is a heavy vehicle and (iii) there is a sizable gap in the adjacent through lane. Results indicate that the rear-end crash risk does not monotonically increase as the merging vehicle speed increases. The merging vehicle's rear-end crash risk is also affected by the vehicle type. There is a biggest increment of rear-end crash risk if the merging lead vehicle belongs to a heavy vehicle. Although the reduced remaining distance to work zone could urge the merging vehicle to complete a merging maneuver quickly, it might lead to an increased rear-end crash risk. Interestingly, it is found that the rear-end crash risk could be generally increased over the elapsed time after the merging maneuver being triggered.
Communications in Transportation Research: Vision and scope
Publisher: Elsevier BV
Date: 12-2021
Guest Editorial: Selected Papers from the 23rd ITS World Congress, Melbourne 2016
Publisher: Institution of Engineering and Technology (IET)
Date: 12-2017
Risk and Safety of Complex Network Systems
Publisher: Hindawi Limited
Date: 2016
DOI: 10.1155/2016/8983915
Integrated analysis for Transportation Systems in the Connected Era
Publisher: Informa UK Limited
Date: 21-01-2021
A tree-structured crash surrogate measure for freeways
Publisher: Elsevier BV
Date: 04-2015
DOI: 10.1016/J.AAP.2015.02.007
Abstract: In this paper, we propose a novel methodology to define and estimate a surrogate measure. By imposing a hypothetical disturbance to the leading vehicle, the following vehicle's action is represented as a probabilistic causal model. After that, a tree is built to describe the eight possible conflict types under the model. The surrogate measure, named Aggregated Crash Index (ACI), is thus proposed to measure the crash risk. This index reflects the accommodability of freeway traffic state to a traffic disturbance. We further apply this measure to evaluate the crash risks in a freeway section of Pacific Motorway, Australia. The results show that the proposed indicator outperforms the three traditional crash surrogate measures (i.e., Time to Collision, Proportion of Stopping Distance, and Crash Potential Index) in representing rear-end crash risks. The applications of this measure are also discussed.
Modeling Relationship between Truck Fuel Consumption and Driving Behavior Using Data from Internet of Vehicles
Publisher: Wiley
Date: 19-01-2018
DOI: 10.1111/MICE.12344
Long‐Distance‐Commuter (LDC) Lane: A New Concept for Freeway Traffic Management
Publisher: Wiley
Date: 09-09-2014
DOI: 10.1111/MICE.12102
A Crash Severity-Based Black Spot Identification Model
Publisher: Informa UK Limited
Date: 17-12-2014
Bus stop-skipping scheme with random travel time
Publisher: Elsevier BV
Date: 10-2013
A Leader-Based Vehicle Platoon Control Strategy at Signalized Intersections Considering Efficiency
Publisher: Springer Singapore
Date: 2020
Estimating Passenger Car Equivalent of Heavy Vehicles at Roundabout Entry Using Micro-Traffic Simulation
Publisher: Frontiers Media SA
Date: 12-06-2019
Propagation and dissipation of crash risk on saturated freeways
Publisher: Informa UK Limited
Date: 25-06-2014
To Investigate the Hidden Gap between Traffic Flow Fundamental Diagrams and the Derived Microscopic Car Following Models: A Theoretical Analysis
Publisher: Springer Singapore
Date: 2020
Existing and Future Investigation of Charging Technology for Electric Bus
Publisher: Springer Singapore
Date: 2020
An improved multi-value cellular automata model for heterogeneous bicycle traffic flow
Publisher: Elsevier BV
Date: 10-2015
Field experiments on longitudinal characteristics of human driver behavior following an autonomous vehicle
Publisher: Elsevier BV
Date: 05-2020
Jointly dampening traffic oscillations and improving energy consumption with electric, connected and automated vehicles: A reinforcement learning based approach
Publisher: Elsevier BV
Date: 2020
Development of an Efficient Driving Strategy for Connected and Automated Vehicles at Signalized Intersections: A Reinforcement Learning Approach
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Insights into DNA hydroxymethylation in the honeybee from in-depth analyses of TET dioxygenase
Publisher: The Royal Society
Date: 08-2014
DOI: 10.1098/RSOB.140110
Abstract: In mammals, a family of TET enzymes producing oxidized forms of 5-methylcytosine (5mC) plays an important role in modulating DNA demethylation dynamics. In contrast, nothing is known about the function of a single TET orthologue present in invertebrates. Here, we show that the honeybee TET (AmTET) catalytic domain has dioxygenase activity and converts 5mC to 5-hydroxymethylcytosine (5hmC) in a HEK293T cell assay. In vivo , the levels of 5hmC are condition-dependent and relatively low, but in testes and ovaries 5hmC is present at approximately 7–10% of the total level of 5mC, which is comparable to that reported for certain mammalian cells types. AmTET is alternatively spliced and highly expressed throughout development and in adult tissues with the highest expression found in adult brains. Our findings reveal an additional level of flexible genomic modifications in the honeybee that may be important for the selection of multiple pathways controlling contrasting phenotypic outcomes in this species. In a broader context, our study extends the current, mammalian-centred attention to TET-driven DNA hydroxymethylation to an easily manageable organism with attractive and unique biology.
Uncertainty Propagation in Quantitative Risk Assessment Modeling for Fire in Road Tunnels
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2012
Bus travel time reliability analysis: a case study
Publisher: Thomas Telford Ltd.
Date: 06-2014
Abstract: The travel time reliability of buses has become increasingly important for public transit companies. In this study, a novel approach is proposed to evaluate and analyse the travel time reliability of bus services provided by TransLink in Queensland, Australia. In view of their stochastic features, the two components of travel time – dwell time and driving time – are represented by discrete distributed and normally distributed random variables respectively. Accordingly, the travel time could be described by Gaussian mixture models. Based on the proposed model, impact analysis shows that bus line reliability would increase by around 15% if onboard top-up for ‘go cards' (electronic tickets) was not offered by TransLink. It was found that not providing this top-up method would not significantly harm the benefit of go card users, but it would substantially increase the total social benefit thanks to improved bus line reliability.
Extrapolation-enhanced model for travel decision making: An ensemble machine learning approach considering behavioral theory
Publisher: Elsevier BV
Date: 04-2021
Aging characteristics-based health diagnosis and remaining useful life prognostics for lithium-ion batteries
Publisher: Elsevier BV
Date: 08-2019
Personalized Modeling of Travel Behaviors and Traffic Dynamics
Publisher: American Society of Civil Engineers (ASCE)
Date: 10-2022
Optimising total entry delay at roundabouts with unbalanced flow: a dynamic strategy for smart metering
Publisher: Institution of Engineering and Technology (IET)
Date: 28-11-2019
Investigation on linearisation of data-driven transport research: Two representative case studies
Publisher: Institution of Engineering and Technology (IET)
Date: 06-05-2020
Urban aerial mobility: Reshaping the future of urban transportation
Publisher: Elsevier BV
Date: 03-2023
Trajectory Optimization for a Connected Automated Traffic Stream: Comparison Between an Exact Model and Fast Heuristics
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2021
Advances in Modelling Connected and Automated Vehicles
Publisher: Hindawi Limited
Date: 2017
DOI: 10.1155/2017/3268371
Urban aerial mobility: Network structure, transportation benefits, and Sino-US comparison
Publisher: Elsevier BV
Date: 03-2023
High-resolution assessment of environmental benefits of dockless bike-sharing systems based on transaction data
Publisher: Elsevier BV
Date: 05-2021
How Does the Driver’s Perception Reaction Time Affect the Performances of Crash Surrogate Measures?
Publisher: Public Library of Science (PLoS)
Date: 23-09-2015
Estimation of Entry Capacity for Single-Lane Modern Roundabouts: Case Study in Queensland, Australia
Publisher: American Society of Civil Engineers (ASCE)
Date: 07-2014
Multiple Emergency Vehicle Priority in a Connected Vehicle Environment: A Cooperative Method
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Emergency vehicle lane pre-clearing: From microscopic cooperation to routing decision making
Publisher: Elsevier BV
Date: 11-2020
Discrete Optimization for Dynamic Systems of Operations Management in Data-Driven Society
Publisher: Hindawi Limited
Date: 15-05-2019
DOI: 10.1155/2019/3597314
Vessel Collision Frequency Estimation in the Singapore Strait
Publisher: Cambridge University Press (CUP)
Date: 12-03-2012
DOI: 10.1017/S0373463311000683
Abstract: This paper aims to estimate Vessel Collision Frequency in the Singapore Strait. This frequency is obtained as the product of the number of Vessel Conflicts and the causation probability using the real-time vessel movement data from the Lloyd's Marine Intelligence Unit (Lloyd's MIU) database. The results show that the container carriers have the highest Vessel Collision Frequency while Roll-On Roll-Off (RORO) and passenger ships have the lowest frequency. Tankers cause the highest head-on collision frequency. In the Singapore Strait, the most risky overtaking area is between longitudes 103°48′E and 104°12′E. The most risky head-on area is between longitudes 103°50′E and 104°00′E while the majority of crossing collisions occur between longitudes 103°50′E and 104°12′E. The Vessel Collision Frequency is found to be 1·75 per year in the traffic lanes. Currently, westbound traffic in the Strait is more risky than eastbound traffic (the number of westbound collisions in July was 0·0991 while the number of eastbound collisions was 0·0470). Furthermore, the estimated Vessel Collision Frequency during the day is less than that at night. The results of this paper could be beneficial for the Maritime and Port Authority of Singapore to further enhance the navigational safety strategies implemented in the Singapore Strait.
Hotspot identification considering daily variability of traffic flow and crash record: A case study
Publisher: Informa UK Limited
Date: 25-04-2019
Connected infrastructure location design under additive service utilities
Publisher: Elsevier BV
Date: 02-2019
Related Organisations
Cardiff University
Location: United Kingdom of Great Britain and Northern Ireland
Related Funding Activities
Discovery Projects - Grant ID: DP180101529
Start Date: 2018
End Date: 03-2018
Amount: $94,199.00
Funder: Australian Research Council
View Funded Activity