ORCID Profile
0000-0002-5770-0062
Current Organisations
Loughborough University
,
University of Queensland
,
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 | Transport engineering | Transportation logistics and supply chains |
ANZSRC Socio-Economic Objective (SEO)
Related Links
Publications
Policy Implications of Work-Trip Mode Choice Using Econometric Modeling
Publisher: American Society of Civil Engineers (ASCE)
Date: 08-2018
A hazard-based duration model to quantify the impact of connected driving environment on safety during mandatory lane-changing
Publisher: Elsevier BV
Date: 09-2019
Alternative Approach for Predicting the Phase Angle Characteristics of Asphalt Concrete Mixtures Based on Recurrent Neural Networks
Publisher: American Society of Civil Engineers (ASCE)
Date: 09-2021
A game theory-based approach for modelling mandatory lane-changing behaviour in a connected environment
Publisher: Elsevier BV
Date: 09-2019
The impact of data noise on permanent deformation behaviour of asphalt concrete mixtures
Publisher: Informa UK Limited
Date: 27-11-2020
Before-after safety evaluation of part-time protected right-turn signals: An extreme value theory approach by applying artificial intelligence-based video analytics
Publisher: Elsevier BV
Date: 2024
Predicting the permanent deformation behaviour of the plant produced asphalt concrete mixtures: A first order regression approach
Publisher: Elsevier BV
Date: 11-2018
Connectivity’s impact on mandatory lane-changing behaviour: Evidences from a driving simulator study
Publisher: Elsevier BV
Date: 08-2018
A data-driven model for phase angle behaviour of asphalt concrete mixtures based on convolutional neural network
Publisher: Elsevier BV
Date: 02-2021
Understanding the discretionary lane-changing behaviour in the connected environment
Publisher: Elsevier BV
Date: 03-2020
The impact of the connected environment on driving behavior and safety: A driving simulator study
Publisher: Elsevier BV
Date: 09-2020
Assessing a Connected Environment’s Safety Impact During Mandatory Lane-Changing: A Block Maxima Approach
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2023
Characterization of various plant-produced asphalt concrete mixtures using dynamic modulus test
Publisher: Hindawi Limited
Date: 2016
DOI: 10.1155/2016/5618427
Abstract: This research characterizes the performance of various plant-produced asphalt concrete mixtures by dynamic modulus | E ∗ | test using asphalt mixture performance tester (AMPT). Marshall designed specimens of seven different mixtures were prepared using the Superpave gyratory compactor and subjected to sinusoidal compressive loading at various temperatures (4.4 to 54.4°C) and loading frequencies (0.1 to 25 Hz). A catalog of default dynamic modulus values for typical asphalt concrete mixtures of Pakistan was established by developing stress-dependent master curves separately, for wearing and base course mixtures. The sensitivity of temperature and loading frequency on determination of dynamic modulus value was observed by typical isothermal and isochronal curves, respectively. Also, the effects of various variables on dynamic modulus were investigated using statistical technique of two-level factorial design of experiment. Furthermore, two dynamic modulus prediction models, namely, Witczak and Hirsch, were evaluated for their regional applicability. Results indicated that both the Witczak and Hirsch models mostly underpredict the value of dynamic modulus for the selected conditions/mixtures. The findings of this study are envisaged to facilitate the implementation of relatively new performance based mechanistic-empirical structural design and analysis approach.
Permanent deformation prediction of asphalt concrete mixtures – A synthesis to explore a rational approach
Publisher: Elsevier BV
Date: 10-2017
Performance Evaluation of Crumb Rubber-Modified Asphalt Mixtures Based on Laboratory and Field Investigations
Publisher: Springer Science and Business Media LLC
Date: 25-07-2017
Determinants of labor productivity for building projects in Pakistan
Publisher: Golden Light Publishing
Date: 30-06-2020
Investigation of lane-changing behaviour in a connected environment
Publisher: University of Queensland Library
Date: 2020
Modelling and characterising the fatigue behaviour of asphaltic concrete mixtures
Publisher: Elsevier BV
Date: 09-2018
Stop or go decisions at the onset of yellow light in a connected environment: A hybrid approach of decision tree and panel mixed logit model
Publisher: Elsevier BV
Date: 09-2021
Calibrating lane-changing models: Two data-related issues and a general method to extract appropriate data
Publisher: Elsevier BV
Date: 07-2023
Performance Evaluation of Elvaloy as a Fuel-Resistant Polymer in Asphaltic Concrete Airfield Pavements
Publisher: American Society of Civil Engineers (ASCE)
Date: 10-2017
Empirical Correlation of Permanent Deformation Tests for Evaluating the Rutting Response of Conventional Asphaltic Concrete Mixtures
Publisher: American Society of Civil Engineers (ASCE)
Date: 08-2017
Cooperate or not? Exploring drivers’ interactions and response times to a lane-changing request in a connected environment
Publisher: Elsevier BV
Date: 11-2020
Quantifying the Differential Phase Angle Behaviour of Asphalt Concrete Mixtures Using Artificial Neural Networks
Publisher: Springer Science and Business Media LLC
Date: 21-05-2022
An eXtreme Gradient Boosting model for predicting dynamic modulus of asphalt concrete mixtures
Publisher: Elsevier BV
Date: 08-2021
Modelling lane-changing execution behaviour in a connected environment: A grouped random parameters with heterogeneity-in-means approach
Publisher: Elsevier BV
Date: 12-2021
Sensitivity analysis of dynamic response and fatigue behaviour of various asphalt concrete mixtures
Publisher: Wiley
Date: 08-03-2015
DOI: 10.1111/FFE.12297
Comparing the usefulness of real-time driving aids in a connected environment during mandatory and discretionary lane-changing manoeuvres
Publisher: Elsevier BV
Date: 12-2020
A binary logistic model for predicting the tertiary stage of permanent deformation of conventional asphalt concrete mixtures
Publisher: Elsevier BV
Date: 12-2019
Rutting Evaluation of Asphalt Mixtures Using Static, Dynamic, and Repeated Creep Load Tests
Publisher: Springer Science and Business Media LLC
Date: 24-11-2017
Exploring temporal instability effects on bicyclist injury severities determinants for intersection and non-intersection-related crashes
Publisher: Elsevier BV
Date: 2024
Modelling speed reduction behaviour on variable speed limit-controlled highways considering surrounding traffic pressure: A random parameters duration modelling approach
Publisher: Elsevier BV
Date: 12-2023
Effect of binder grade on performance parameters of asphaltic concrete paving mixtures
Publisher: Airiti Press, Inc.
Date: 09-2018
Rutting and Fatigue Properties of Cellulose Fiber-Added Stone Mastic Asphalt Concrete Mixtures
Publisher: Hindawi Limited
Date: 25-03-2019
DOI: 10.1155/2019/5604197
Abstract: This paper investigates dynamic response, rutting resistance, and fatigue behavior of three stone mastic asphalt (SMA) concrete mixtures selected on basis of nominal maximum aggregate size (NMAS): 25 mm, 19 mm, and 12.5 mm using cellulose fiber added as 0.3% of the total weight of aggregate. Superpave gyratory specimens were fabricated and subjected to the dynamic modulus ( E ∗ ) and flow tests (flow number and flow time) using an asphalt mixture performance tester. The E ∗ test results were employed to develop stress-dependent master curves for each mixture, indicating that the mixture with the NMAS of 25 mm is relatively stiffer than other tested mixtures this mixture also exhibits excellent strength against rutting failure. In addition, fatigue parameter, which is derived from dynamic response and phase angle, is determined, and results reveal that 12.5 mm NMAS mix has relatively better resistance to fatigue than other selected mixtures. Furthermore, nonlinear regression model specifications were utilized to predict accumulated strains as a function of loading cycles. Also, a flow number model is developed that predicts the rutting behavior of mixtures, and results suggest that model predicted and observed outputs of 25 mm SMA mix are found to be very close. The results of this study help in understanding the performance and behavior of cellulose fiber-added stone mastic asphalt concrete mixtures under varying simulated temperature and stress levels, which can be used in areas where the premature failure of flexible pavements is often observed. The testing protocol employed in this study will also help in evaluating pavement performance using Mechanistic-Empirical Pavement Design Guide.
Detecting, analysing, and modelling failed lane-changing attempts in traditional and connected environments
Publisher: Elsevier BV
Date: 12-2020
Effects of partial replacement of fine aggregates with crumb rubber on skid resistance and mechanical properties of cement concrete pavements
Publisher: Informa UK Limited
Date: 20-05-2022
Revisiting the relationship of dynamic and resilient modulus test for asphaltic concrete mixtures
Publisher: Elsevier BV
Date: 05-2018
CLACD: A complete LAne-Changing decision modeling framework for the connected and traditional environments
Publisher: Elsevier BV
Date: 07-2021
Human Factors in Modelling Mixed Traffic of Traditional, Connected, and Automated Vehicles
Publisher: Springer International Publishing
Date: 15-06-2017
Investigation of factors affecting dynamic modulus and phase angle of various asphalt concrete mixtures
Publisher: Springer Science and Business Media LLC
Date: 30-01-2016
Related Organisations
COMSATS Institute Of Information Technology - Wah Campus
Location: Pakistan
Loughborough University
Location: United Kingdom of Great Britain and Northern Ireland
Quaid-e-Awam University Of Engineering, Science And Technology
Location: Pakistan
Related Funding Activities
Linkage Projects - Grant ID: LP220100226
Start Date: 02-2024
End Date: 01-2026
Amount: $126,839.00
Funder: Australian Research Council
View Funded Activity