ORCID Profile
0000-0002-1217-9808
Current Organisations
Serviço Hospitalar Araçatuba e Birigui
,
Universidade Estadual Paulista
,
Queensland University of Technology
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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)
Road transportation and freight services | Engineering Systems Design | Transport engineering | Environmental and Occupational Health and Safety | Transportation logistics and supply chains | Atmospheric Aerosols | Public Health and Health Services |
ANZSRC Socio-Economic Objective (SEO)
Commercial Building Management and Services | Environmental Health | Environmentally Sustainable Transport not elsewhere classified
Related Links
Publications
A cost-effective approach for evaluating on-street parking utilization using simple cameras
Publisher: IEEE
Date: 20-09-2020
Perceptions and Attitudes Towards the Deployment of Autonomous and Connected Vehicles: Insights from Las Vegas, Nevada
Publisher: Informa UK Limited
Date: 03-2021
Factors influencing public awareness of autonomous vehicles: Empirical evidence from Brisbane
Publisher: Elsevier BV
Date: 10-2021
Traffic and Driving Simulator Based on Architecture of Interactive Motion
Publisher: Hindawi Limited
Date: 2015
DOI: 10.1155/2015/340576
Abstract: This study proposes an architecture for an interactive motion-based traffic simulation environment. In order to enhance modeling realism involving actual human beings, the proposed architecture integrates multiple types of simulation, including: (i) motion-based driving simulation, (ii) pedestrian simulation, (iii) motorcycling and bicycling simulation, and (iv) traffic flow simulation. The architecture has been designed to enable the simulation of the entire network as a result, the actual driver, pedestrian, and bike rider can navigate anywhere in the system. In addition, the background traffic interacts with the actual human beings. This is accomplished by using a hybrid mesomicroscopic traffic flow simulation modeling approach. The mesoscopic traffic flow simulation model loads the results of a user equilibrium traffic assignment solution and propagates the corresponding traffic through the entire system. The microscopic traffic flow simulation model provides background traffic around the vicinities where actual human beings are navigating the system. The two traffic flow simulation models interact continuously to update system conditions based on the interactions between actual humans and the fully simulated entities. Implementation efforts are currently in progress and some preliminary tests of in idual components have been conducted. The implementation of the proposed architecture faces significant challenges ranging from multiplatform and multilanguage integration to multievent communication and coordination.
Behavior-consistent real-time traffic routing under information provision
Publisher: Elsevier BV
Date: 12-2009
Paradigms to Deploy a Behavior-Consistent Approach for Information-Based Real-Time Traffic Routing
Publisher: Springer Science and Business Media LLC
Date: 24-10-2008
Integrated System for Collecting and Reporting Crash and Citation Data
Publisher: SCITEPRESS - Science and Technology Publications
Date: 2018
Towards a realistic traffic and driving simulation using 3D rendering
Publisher: IEEE
Date: 09-2015
Forecasting performance measures for traffic safety using deterministic and stochastic models
Publisher: IEEE
Date: 09-2015
Dynamic Modeling of Performance Indices for Planning of Sustainable Transportation Systems
Publisher: Springer Science and Business Media LLC
Date: 22-04-2014
Model-Based Methodology for Validation of Traffic Flow Detectors by Minimizing Human Bias in Video Data Processing
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2015
Urban Freight Logistics and Land Use Planning Education: Trends and Gaps through the Lens of Literature
Publisher: Elsevier BV
Date: 2023
Estimation of Delay using Sensor Data for Reporting through Business Intelligence
Publisher: SCITEPRESS - Science and and Technology Publications
Date: 2016
A Multi-Objective Approach for the Calibration of Microscopic Traffic Flow Simulation Models
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Estimation of Performance Indices for the Planning of Sustainable Transportation Systems
Publisher: Hindawi Limited
Date: 2013
DOI: 10.1155/2013/601468
Abstract: In the context of sustainable transportation systems, previous studies have either focused only on the transportation system or have not used a methodology that enables the treatment of incomplete, vague, and qualitative information associated with the available data. This study proposes a system of systems (SOS) and a fuzzy logic modeling approach. The SOS includes the Transportation, Activity, and Environment systems. The fuzzy logic modeling approach enables the treatment of the vagueness associated with some of the relevant data. Performance Indices (PIs) are computed for each system using a number of performance measures. The PIs illustrate the aggregated performance of each system as well as the interactions among them. The proposed methodology also enables the estimation of a Composite Sustainability Index to summarize the aggregated performance of the overall SOS. Existing data was used to analyze sustainability in the entire United States. The results showed that the Transportation and Activity systems follow a positive trend, with similar periods of growth and contractions in contrast, the environmental system follows a reverse pattern. The results are intuitive and are associated with a series of historic events, such as depressions in the economy as well as policy changes and regulations.
Public Perceptions on Application Areas and Adoption Challenges of AI in Urban Services
Publisher: Ital Publication
Date: 13-09-2022
DOI: 10.28991/ESJ-2022-06-06-01
Abstract: Artificial intelligence (AI) deployment is exceedingly relevant to local governments, for ex le, in planning and delivering urban services. AI adoption in urban services, however, is an understudied area, particularly because there is limited knowledge and hence a research gap on the public's perceptions-users/receivers of these services. This study aims to examine people’s behaviors and preferences regarding the most suited urban services for application of AI technology and the challenges for governments to adopt AI for urban service delivery. The methodological approach includes data collection through an online survey from Australia and Hong Kong and statistical analysis of the data through binary logistic regression modeling. The study finds that: (a) Attitudes toward AI applications and ease of use have significant effects on forming an opinion on AI (b) initial thoughts regarding the meaning of AI have a significant impact on AI application areas and adoption challenges (c) perception differences between the two countries in AI application areas are significant and (d) perception differences between the two countries in government AI adoption challenges are minimal. The study consolidates our understanding of how the public perceives the application areas and adoption challenges of AI, particularly in urban services, which informs local authorities that deploy or plan to adopt AI in their urban services. Doi: 10.28991ESJ-2022-06-06-01 Full Text: PDF
Information-based network control strategies consistent with estimated driver behavior
Publisher: Elsevier BV
Date: 2009
Forecasting of Financial Series for the Nevada Department of Transportation Using Deterministic and Stochastic Methodologies
Publisher: Elsevier BV
Date: 2015
How can smart mobility bridge the first/last mile gap? Empirical evidence on public attitudes from Australia
Publisher: Elsevier BV
Date: 10-2022
Barriers and risks of Mobility-as-a-Service (MaaS) adoption in cities: A systematic review of the literature
Publisher: Elsevier BV
Date: 02-2021
An Investigation of SPSA for Signal Timing Optimization at Isolated Intersections
Publisher: IEEE
Date: 09-2015
DOI: 10.1109/ITSC.2015.13
Revisiting the application of simultaneous perturbation stochastic approximation towards signal timing optimization
Publisher: Informa UK Limited
Date: 29-06-2017
On-Street Parking Occupancy Inference Based on Payment Transactions
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2022
A multiobjective bilevel approach based on global-best harmony search for defining optimal routes and frequencies for bus rapid transit systems
Publisher: Elsevier BV
Date: 06-2018
Assessing economic impacts of implementing a vehicle miles traveled fee in Nevada
Publisher: IEEE
Date: 09-2012
Estimating Bridge Deterioration For Small Data Sets Using Regression And Markov Models
Publisher: Zenodo
Date: 2016
Enhancing GPS-assisted travel data collection through smartphones
Publisher: IEEE
Date: 20-09-2020
Analysis of Self-Reported Walking for Transit in a Sprawling Urban Metropolitan Area in the Western U.S.
Publisher: MDPI AG
Date: 06-02-2019
DOI: 10.3390/SU11030852
Abstract: Walkability is associated with increased levels of physical activity and improved health and sustainability. The sprawling design of many metropolitan areas of the western U.S., such as Las Vegas, influences their walkability. The purpose of this study was to consider sprawl characteristics along with well-known correlates of walkability to determine what factors influence self-reported minutes of active transportation. Residents from four neighborhoods in the Las Vegas Metropolitan Area, targeted for their high and low walkability scores, were surveyed for their perceptions of street-connectivity, residential-density, land-use mix, and retail–floor-area ratio and sprawl characteristics including distance between crosswalks, single-entry-communities, high-speed streets, shade, and access to transit. A Poisson model provided the best estimates for minutes of active transportation and explained 11.28% of the variance. The model that included sprawl characteristics resulted in a better estimate of minutes of active transportation compared to the model without them. The results indicate that increasing walkability in urban areas such as Las Vegas requires an explicit consideration of its sprawl characteristics. Not taking such design characteristics into account may result in the underestimation of the influence of sprawl on active transportation and may result in a missed opportunity to increase walking. Understanding the correlates of walkability at the local level is important in successfully promoting walking as a means to increase active transportation and improve community health and sustainability.
On-line calibration of behavior parameters for behavior-consistent route guidance
Publisher: Elsevier BV
Date: 05-2009
Stochastic dynamic user equilibrium using a mixed logit modeling framework
Publisher: IEEE
Date: 11-2016
Fuzzy Control Model Optimization for Behavior-Consistent Traffic Routing Under Information Provision
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2008
A framework for corridor-level traffic safety network screening and its implementation using Business Intelligence
Publisher: Elsevier BV
Date: 11-2020
The effects of ride-hailing companies on the taxicab industry in Las Vegas, Nevada
Publisher: Elsevier BV
Date: 09-2018
Adaptive Traffic Control for Large-Scale Dynamic Traffic Assignment Applications
Publisher: SAGE Publications
Date: 2011
DOI: 10.3141/2263-12
Abstract: Dynamic traffic assignment (DTA) applications require traffic signal control data that are typically difficult to obtain and cumbersome to code in the required format. In addition, the evaluation of future scenarios requires future traffic signal settings consistent with the forecast demand. These signal settings are not known a priori and are costly to estimate. Intuitively, future signal timings need to be reasonably optimized so as to represent what the traffic management agency will do. In the literature, integration between traffic control and DTA models has been formulated as a bi-level or single-level optimization problem with system or user optimal constraints. Most existing solution procedures require certain nested structure with an inner-loop algorithm solving the problem of user-equilibrium or system-optimal assignment and the outer-loop algorithm searching for the optimal signal-timing settings. Most of these solution approaches remain only research tools without practical use because of computational intractability. This research proposes an efficient solution algorithm to the problem. An adaptive traffic signal control model is embedded in a simulation-based DTA model. For each inbound approach at an intersection of interest, the adaptive model uses upstream information and a dynamic rolling-horizon approach to project traffic flow conditions for a dynamic but short (projection) period. The adaptive model provides the signal settings during the entire process of traffic flow simulation and for every iteration of the solution algorithm. Thus, during the entire solution process, the experienced travel times and resulting traffic assignment flows are based on the adaptive (demand-responsive) signal settings, allowing the DTA flows and the adaptive signal settings to be generated simultaneously in a single-loop algorithmic structure. Simulation experiments illustrate the capabilities of the proposed approach.
A clusterwise regression approach for the estimation of crash frequencies
Publisher: Informa UK Limited
Date: 05-07-2019
Artificial intelligence in local government services: Public perceptions from Australia and Hong Kong
Publisher: Elsevier BV
Date: 06-2023
Simultaneous Generation of Optimum Pavement Clusters and Associated Performance Models
Publisher: Hindawi Limited
Date: 12-12-2018
DOI: 10.1155/2018/2159865
Abstract: With regard to developing pavement performance models (PPMs), the existing state-of-the-art proposes Clusterwise Linear Regression (CLR) to determine the pavement clusters and associated PPMs simultaneously. However, the approach does not determine optimal clustering to minimize error that is, the number of clusters and explanatory variables are prespecified to determine the corresponding coefficients of the PPMs. In addition, existing formulations do no address issues associated with overfitting as there is no limit to include parameters in the model. In order to address this limitation, this paper proposes a mathematical program within the CLR approach to determine simultaneously ( 1 ) an optimal number of clusters, ( 2 ) assignment of segments into clusters, and ( 3 ) regression coefficients for all prespecified explanatory variables required to minimize the estimation error. The Bayesian Information Criteria is proposed to limit the number of optimal clusters. A simulated annealing coupled with ordinary least squares was used to solve the mathematical program.
Cover Image, Volume 528, Issue 11
Publisher: Wiley
Date: 28-05-2020
DOI: 10.1002/CNE.24962
Multinomial logistic regression to estimate and predict perceptions of bicycle and transportation infrastructure in a sprawling metropolitan area
Publisher: Oxford University Press (OUP)
Date: 13-12-2015
Perceived Opportunities and Challenges of Autonomous Demand-Responsive Transit Use: What Are the Socio-Demographic Predictors?
Publisher: MDPI AG
Date: 08-2023
DOI: 10.3390/SU151511839
Abstract: The adoption of autonomous demand-responsive transit (ADRT) to support regular public transport has the potential to enhance sustainable mobility. There is a dearth of research on the socio-demographic characteristics associated with perceived opportunities and challenges regarding ADRT adoption in Australia. In this research, we fill this knowledge gap by determining socio-demographic predictors of perceptions and attitudes towards ADRT, specifically autonomous shuttle buses (ASBs), among adult residents of South East Queensland. This study incorporates a review of prior global studies, a stated preference survey distributed across the case study region, and descriptive and logistic regression analysis. We found that the main perceived opportunity of ASBs is reduced congestion/emissions, while the primary anticipated challenge relates to unreliable technology. Fully employed respondents are likely to be more familiar with autonomous vehicles. Females and those from lower-income households are less likely to have ridden in an autonomous vehicle. Males, those who are younger, have high employment, hail from higher-income households, and with no driver’s licence are all more favourable towards ASBs. Males, those with high employment, and without driver’s licence are likely to be more concerned about traffic accidents when using ASBs. Less-educated respondents and those living in peri-urban areas are likely to be more concerned about fares. Insights are drawn from the current study to inform policymakers to consider key challenges (e.g., trust issues) and target groups (particularly females) in planning public communication strategies to enhance receptiveness to ADRT.
Extensive hypothesis testing for estimation of mixed-Logit models
Publisher: Elsevier BV
Date: 06-2023
Development of control models for the planning of sustainable transportation systems
Publisher: Elsevier BV
Date: 06-2015
Aplicação do método GMRES em estudos de estabilidade de sistemas de energia elétrica
Publisher: FapUNIFESP (SciELO)
Date: 06-2012
DOI: 10.1590/S0103-17592012000300006
Abstract: Este artigo investiga o desempenho do método iterativo GMRES no subproblema linear de uma das etapas de solução das EDAs presentes em análises no domínio do tempo de estabilidade de sistemas elétricos. Mostra-se que o GMRES sem pré-condicionamento falha devido ao fenômeno da "estagnação". Foi testado um pré-condicionador de fatores incompletos tipo ILUT, sem êxito. Através do número de condicionamento da matriz imagem do pré-condicionador (matriz Jacobiana do sistema elétrico), comprovou-se o seu mau condicionamento, resultando, portanto, num pré-condicionador de baixa qualidade, justificando a falha do GMRES. Optou-se por pré-processar (escalonamento, normalização e reordenamento) a matriz imagem o que, de fato, melhorou as suas características refletindo positivamente na qualidade do pré-condicionador. Após essas ações, o GMRES solucionou eficientemente os sistemas lineares associados a cada experimento numérico, todos apresentando inicialmente matrizes Jacobianas muito mal-condicionadas.
Development of a Visualization System for Safety Analyst
Publisher: SAGE Publications
Date: 2014
DOI: 10.3141/2460-19
Comprehensive Clusterwise Linear Regression for Pavement Management Systems
Publisher: American Society of Civil Engineers (ASCE)
Date: 12-2017
Dynamic model development of performance indices for planning of sustainable transportation systems
Publisher: IEEE
Date: 09-2012
Relationship between Programmed Heavy Vehicle Inspections and Traffic Safety
Publisher: SAGE Publications
Date: 16-07-2021
DOI: 10.1177/03611981211016458
Abstract: Heavy vehicle crashes incur significant economic and social costs. Although most crashes are considered to be related to driver error, the effects of vehicle defects are major in many crashes. Therefore, various vehicle inspections including Queensland’s Certificate of Inspection (COI) scheme have been implemented to improve the safety of heavy vehicles. This study analyzes the trends of heavy vehicle crashes and their relationships with COI results. Longitudinal data provided by Queensland’s Department of Transport and Main Roads for the period of June 2009 through December 2013 were used to perform the analyses. The data include 474,640 programmed inspections and 2,274 crashes in which heavy vehicles were involved. The results show significant relationships between the monthly average inspection failure rate as well as the monthly average failure severity level, and the total number of heavy vehicle crashes. The results also reveal significant relationships between the monthly average inspection failure rate, average vehicle age, as well as monthly average mean maximum temperature, and the number of defect-related crashes. The implications of these results are discussed with respect to heavy vehicle safety policies.
Calibration of CORSIM models considering all model parameters simultaneously
Publisher: IEEE
Date: 09-2012
Understanding Autonomous Shuttle Adoption Intention: Predictive Power of Pre-Trial Perceptions and Attitudes
Publisher: MDPI AG
Date: 26-11-2022
DOI: 10.3390/S22239193
Abstract: The capability of ‘demand-responsive transport’, particularly in autonomous shared form, to better facilitate road-based mobility is considered a significant advantage because improved mobility leads to enhanced quality of life and wellbeing. A central point in implementing a demand-responsive transit system in a new area is adapting the operational concept to the respective structural and socioeconomic conditions. This requires an extensive analysis of the users’ needs. There is presently limited understanding of public perceptions and attitudes toward the adoption of autonomous demand-responsive transport. To address this gap, a theory-based conceptual framework is proposed to provide detailed empirical insights into the public’s adoption intention of ‘autonomous shuttle buses’ as a form of autonomous demand-responsive transport. South East Queensland, Australia, was selected as the testbed. In this case study, relationships between perceptions, attitudes, and usage intention were examined by employing a partial least squares structural equation modeling method. The results support the basic technology acceptance model casual relationships that correspond with previous studies. Although the direct effects of perceived relative advantages and perceived service quality on usage intention are not significant, they could still affect usage intention indirectly through the attitude factor. Conversely, perceived risks are shown to have no association with perceived usefulness but can negatively impact travelers’ attitudes and usage intention toward autonomous shuttle buses. The research findings provide implications to assist policymakers, transport planners, and engineers in their policy decisions and system plans as well as achieving higher public acknowledgment and wider uptake of autonomous demand-responsive transport technology solutions.
Generalised clusterwise regression for simultaneous estimation of optimal pavement clusters and performance models
Publisher: Informa UK Limited
Date: 19-09-2018
Multi-objective Memetic Algorithm Based on NSGA-II and Simulated Annealing for Calibrating CORSIM Micro-Simulation Models of Vehicular Traffic Flow
Publisher: Springer International Publishing
Date: 2016
Modeling Asymmetry of Information for a Sample of the Chilean Companies Using Deterministic and Stochastic Methodologies
Publisher: IEEE
Date: 02-2016
Design and preliminary testing of demand-responsive transverse rumble strips
Publisher: SAGE Publications
Date: 09-2019
Abstract: Transverse rumble strips are common practice to alert drivers by engaging their auditory and tactile senses in addition to visual senses by traffic signals. However, continuous exposure to noise and vibration by transverse rumble strips often results in diminished effectiveness and erratic behaviors, leading to additional safety challenges. In response, demand-responsive transverse rumble strips were developed as traffic safety countermeasures that reduce unnecessary noise and vibration associated with transverse rumble strips by incorporating active control of the rumble strips. Rather than staying static, demand-responsive transverse rumble strips are activated based on the presence of pedestrians, at predesignated times, or in response to abrupt changes in traffic flow. To evaluate the effectiveness of demand-responsive transverse rumble strips, the research team assessed noise and vibration data, both inside the vehicles and on the roadside, for various types of vehicles traveling at different speeds. The test data indicate that demand-responsive transverse rumble strips produced noticeable in-vehicle noise and vibration that could alert drivers to downstream events. Furthermore, demand-responsive transverse rumble strips generated sufficient noise to alert roadside pedestrians to vehicle presence but at low enough level to be considered as acceptable for a residential neighborhood use. Accordingly, demand-responsive transverse rumble strips could address the challenges that static transverse rumble strips face, by providing a design with relatively limited noise while enhancing safety.
Injury severity on traffic crashes: A text mining with an interpretable machine-learning approach
Publisher: Elsevier BV
Date: 12-2020
Simultaneous Estimation of Flexible Models and Associated Hyperparameters: An Application to Travel Activity-Duration Modeling
Publisher: SAGE Publications
Date: 07-09-2012
Abstract: Estimation of flexible-statistical models of travel demand involves tuning varying parameters, hyperparameters, manually and iteratively. Proper tuning of hyperparameters results in superior models. However, considerable expertise, including technical knowledge of statistics, data mining or machine learning, and experience are required to tune hyperparameters and consequently generate appropriate models. Moreover, tuning hyperparameters is prone to subjective error and consequently produces travel demand models that are difficult to reproduce and extend, and makes the development more an art than a science. There is a need for methods to reduce or eliminate subjectivity during the tuning process. This study proposed a framework to reduce subjectivity during the tuning of hyperparameters required for the estimation of nonparametric models of activity-duration. That is, a flexible-statistical framework, which leverages state-of-the-art innovations in Bayesian optimization (BO), was proposed to estimate Gaussian process models of activity duration and associated hyperparameters. The framework was applied to estimate duration models for five types of out-of-home non-mandatory activity episodes for household in iduals in the greater Los Angeles area. Experiments demonstrate that the accuracy of results from the proposed framework are superior to those from the current tuning process, and are obtained in a fraction of the time. The proposed framework could potentially increase the productivity of modelers by reducing time required to tune hyperparameters.
Specification of mixed logit models assisted by an optimization framework
Publisher: Elsevier BV
Date: 03-2019
Understanding driverless car adoption: Random parameters ordered probit model for Brisbane, Melbourne and Sydney
Publisher: Elsevier BV
Date: 06-2023
xlogit: An open-source Python package for GPU-accelerated estimation of Mixed Logit models
Publisher: Elsevier BV
Date: 03-2022
An Investigation of Geography and Climate Induced Distresses Patterns on Airfield Pavements at US Air Force Installations
Publisher: Hindawi Limited
Date: 2017
DOI: 10.1155/2017/8721940
Abstract: This study investigated climate induced distresses patterns on airfield pavements at US Air Force installations. A literature review and surveys of Pavement Condition Index indicated that the predominant factor contributing to the development of pavement distress was climate. Results suggested that, within each type of pavement distress, a geographic pattern exists which is strongly correlated to conventional US climate zones. The US Air Force Roll-Up Database, housing over 50,000 records of pavement distress data, was distilled using a process designed to combine similar distresses while accounting for age and size of s les. The process reduced the data to a format that could be used to perform krig analysis and to develop pavement behavior models for runways built with asphalt cement (AC) and Portland cement concrete (PCC). Regression and krig analyses were conducted for each distress type to understand distress behavior among climate zones. Combined regression and krig analyses provided insight into the overall pavement behavior for AC and PCC runways and illustrated which climate zone was more susceptible to specific pavement distresses. Distress behavior tends to be more severe in the eastern US for AC and in the western US for PCC runway pavements, respectively.
Approximate multi-objective optimization for integrated bus route design and service frequency setting
Publisher: Elsevier BV
Date: 2022
Mapping Two Decades of Autonomous Vehicle Research: A Systematic Scientometric Analysis
Publisher: Informa UK Limited
Date: 11-08-2021
Mining Dynamic Network-Wide Traffic States
Publisher: IEEE
Date: 11-2018
Evaluation of Demand-Responsive Transverse Rumble Strip Effects on Drivers’ Behavioral Changes as a Traffic Calming Device
Publisher: American Society of Civil Engineers (ASCE)
Date: 11-2022
Development of a Comprehensive Database System for Safety Analyst
Publisher: Hindawi Limited
Date: 2015
DOI: 10.1155/2015/636841
Abstract: This study addressed barriers associated with the use of Safety Analyst, a state-of-the-art tool that has been developed to assist during the entire Traffic Safety Management process but that is not widely used due to a number of challenges as described in this paper. As part of this study, a comprehensive database system and tools to provide data to multiple traffic safety applications, with a focus on Safety Analyst, were developed. A number of data management tools were developed to extract, collect, transform, integrate, and load the data. The system includes consistency-checking capabilities to ensure the adequate insertion and update of data into the database. This system focused on data from roadways, r s, intersections, and traffic characteristics for Safety Analyst. To test the proposed system and tools, data from Clark County, which is the largest county in Nevada and includes the cities of Las Vegas, Henderson, Boulder City, and North Las Vegas, was used. The database and Safety Analyst together help identify the sites with the potential for safety improvements. Specifically, this study examined the results from two case studies. The first case study, which identified sites having a potential for safety improvements with respect to fatal and all injury crashes, included all roadway elements and used default and calibrated Safety Performance Functions (SPFs). The second case study identified sites having a potential for safety improvements with respect to fatal and all injury crashes, specifically regarding intersections it used default and calibrated SPFs as well. Conclusions were developed for the calibration of safety performance functions and the classification of site subtypes. Guidelines were provided about the selection of a particular network screening type or performance measure for network screening.
Method for Incorporating Awareness Mechanisms in Driving Simulation Environments
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2014
Calibration of Microscopic Traffic Flow Simulation Models considering Subsets of Links and Parameters
Publisher: No publisher found
Date: 2020
DOI: 10.1155/2020/8897141
Holistic Calibration of Microscopic Traffic Flow Models: Methodology and Real World Application Studies
Publisher: Springer International Publishing
Date: 2015
On the Road to Enhancing Transportation Access for People with Disabilities: A Data Review of Accessible Autonomous Vehicles Research
Publisher: ACM
Date: 18-09-2023
Searching for on-street parking
Publisher: Elsevier BV
Date: 10-2020
Behavior-Consistent Within-Day Traffic Routing under Information Provision
Publisher: IEEE
Date: 2006
A comprehensive system for management roadway infrastructure
Publisher: AIP Publishing
Date: 2020
DOI: 10.1063/5.0004940
Highway Expenditures and Associated Customer Satisfaction: A Case Study
Publisher: Hindawi Limited
Date: 2016
DOI: 10.1155/2016/4630492
Abstract: This study analyzes the satisfaction of the Nevadans with respect to their highway transportation system and the corresponding expenditures of Nevada Department of Transportation (NDOT). A survey questionnaire was designed to capture the opinions of the Nevadans (customers) about a number of characteristics of their transportation system. Data from the financial data warehouse of the NDOT was used to evaluate expenditures. Multinomial probit models were estimated to study the correlations between customers’ opinion and the government expenditures in transportation. The results indicate the customer satisfaction is decreasing with respect to traffic safety throughout Northwestern and Southern Nevada highways. In addition, users of Northwestern highways are more likely to be satisfied, compared to their counterparts, with increasing construction spending to reduce the time taken to complete construction projects. In Southern Nevada highways, customers’ satisfaction increases with the expenditures associated with reduction of congestion. These insights are ex les of the conclusions that were obtained as a consequence of simultaneously considering customer satisfaction and the corresponding expenditures in transportation.
Smart Urban Mobility Innovations: A Comprehensive Review and Evaluation
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Stated preference analysis of a new very light jet based on-demand air service
Publisher: Elsevier BV
Date: 05-2008
The Feasibility of a Land Ferry System to Reduce Highway Maintenance Cost and Associated Externalities
Publisher: Hindawi Limited
Date: 2016
DOI: 10.1155/2016/8180232
Abstract: This study provides an economic evaluation for a Land Ferry, which is a rail system capable of carrying trucks and all other types of vehicles, passengers, and cargo. The Land Ferry system involves a sliding loading system to roll heavy loads onto a flatbed as a result, loading and unloading of all vehicles and cargo could be accomplished simultaneously. The evaluation for this system included (1) the design of a new track alignment over which the Land Ferry system would run, (2) evaluation of various sources of power, (3) estimation of how many local jobs the Land Ferry would generate, and (4) a benefit-cost analysis. It was estimated that the Land Ferry would create over 45,788 temporary jobs in Nevada during the three-year construction period and 318 permanent jobs during operation. The majority of the benefits were attributed to savings in travel time ($356.4 M), vehicle operating costs ($1000.4 M), reduction of accidents ($544.6 M), and pavement maintenance ($503.2 M). These benefits would be a consequence of the shift of trucks from the highway, thus resulting in higher speeds, decrease fuel consumption, and decrease vehicle maintenance costs. The overall benefit-cost ratio of 1.7 implies a cost-effective project.
Evaluation Of The Effectiveness Of A Hawk Signal On Compliance In Las Vegas Nevada
Publisher: Zenodo
Date: 2016
A random parameters with heterogeneity in means and Lindley approach to analyze crash data with excessive zeros: A case study of head-on heavy vehicle crashes in Queensland
Publisher: Elsevier BV
Date: 09-2021
DOI: 10.1016/J.AAP.2021.106308
Abstract: This study performed statistical analyses to identify likely crash contributing factors for Head-on Fatal and Serious Injury (FSI) collisions involving heavy vehicles (HVs) on the Queensland state road network. Head-on HV collisions are associated with the largest number of fatalities compared to other crash types in Queensland. However, there is limited relevant literature regarding this type of crashes. Recent studies on road safety research have focused on variants of random parameters models to capture unobserved heterogeneity that may influence the occurrence of crashes. Among such models, random parameters with heterogeneity in means has recently provided better results and has become popular. However, this study illustrates a potential limitation regarding the use of these models without explicitly factoring for excessive zero crash observations. To address this potential limitation, a random parameters with heterogeneity in means and a Lindley distribution is introduced in this study to factor for the unobserved heterogeneity using additional variables as well as site-specific variation from excessive zero crash observations. Results showed that a Poisson model with random parameters and heterogeneity in means using a Lindley distribution outperformed multiple alternative state-of-the-art specifications in terms of fit as well as overall prediction ability. The analyses using the proposed modelling approach revealed factors likely to affect the likelihood of Head-on FSI crashes involving HVs in Queensland including volume, segment length, period of analysis, terrain type being rolling, curve (moderate/sharp/very sharp) longer than 50% of the corresponding segment length, rural single carriageway with high (>=100 kph) and medium (>=50 and <100 kph) speed limits, and urban single carriageway. Unobserved heterogeneity regarding the parameter for road curvature was explained using rolling terrain type as an explanatory variable. This study has explained variation in the means of random parameters for a road attribute using the effect of a geometric variable, in which several stakeholders are primarily interested.
Assessment of Economic Impacts of Vehicle Miles Traveled Fee for Passenger Vehicles in Nevada
Publisher: SAGE Publications
Date: 2014
DOI: 10.3141/2450-04
Abstract: This study evaluated the effectiveness and equity of a fee for vehicle miles traveled (VMT) for passenger vehicles in Nevada. In the evaluation of the fee's effectiveness, the collection capabilities, as well as the fee's impact on the number of miles users drove, were considered. Equity was evaluated by considering the impact of the VMT fee on various population groups on the basis of socioeconomics, demographics, household type, location, and ownership of fuel-efficient vehicles. To estimate the impacts on various VMT fees, a linear regression model was developed with the use of data from the 2009 National Household Travel Survey, which provided a mechanism to estimate VMT in Nevada as a function of the cost to drive, among other characteristics. The effectiveness and the equity of two alternative VMT fees were compared with the existing fuel tax system. These fees were calculated on the basis of the average fuel efficiency of vehicles in Nevada and the historical revenue from the state fuel tax. In general, a VMT fee of 3.3 cents per mile seemed to be more effective than both the existing fuel tax and a VMT fee of 2.91 cents per mile. Although the 3.3 cents per mile fee had a slightly greater impact on various population groups, its equitable distribution of the tax burden among 71.1% of households created a small average cost increase of just 0.37% per household. Thus, a 3.3 cents per mile fee would provide the necessary revenue without significantly affecting Nevada households.
Vehicle Miles Traveled Fee System in Nevada
Publisher: SAGE Publications
Date: 2013
DOI: 10.3141/2345-06
Abstract: Several barriers are associated with the implementation and deployment of a vehicle miles traveled (VMT) fee system these barriers range from technology issues to public acceptance. Technology-related barriers are easier to address compared with public-related barriers. In addition, addressing technological barriers requires explicit consideration of the public's attitudes and preferences in relation to various technological options. Public perceptions of and billing preferences for a VMT fee system in Nevada were studied. A survey questionnaire was developed to capture these perceptions and preferences. A series of discrete choice models—ordered, probit, and logit models—were tested to determine the best model to use for evaluating the results of the survey. Multinomial logit models provided the best explanatory power. Modeling assumptions were tested to ensure adequate results. The model provided several interesting insights about public perceptions and preferences in regard to the VMT system. On the basis of these insights, some policy recommendations are provided.
Calibration of traffic flow models using a memetic algorithm
Publisher: Elsevier BV
Date: 06-2015
Smart Mobility Adoption: A Review of the Literature
Publisher: Elsevier BV
Date: 06-2021
Calibration of Microscopic Traffic Flow Simulation Models Using a Memetic Algorithm with Solis and Wets Local Search Chaining (MA-SW-Chains)
Publisher: Springer International Publishing
Date: 2016
Method for incorporating awareness mechanisms in driving simulation environments
Publisher: ACM
Date: 11-11-2013
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