Applications of evolutionary game theory in urban road transport network: A state of the art review

F Ahmad, Z Shah, L Al-Fagih - Sustainable Cities and Society, 2023 - Elsevier
A sustainable transport infrastructure is one of the pillars of a sustainable city. However, the
literature indicates that urbanization, population growth, changes in population density, and …

Assessing traffic conflict/crash relationships with extreme value theory: Recent developments and future directions for connected and autonomous vehicle and …

Y Ali, MM Haque, F Mannering - Analytic methods in accident research, 2023 - Elsevier
With proactive safety assessment gaining significant attention in the literature, the
relationship between traffic conflicts (which form the underpinnings of proactive safety …

A Bayesian generalised extreme value model to estimate real-time pedestrian crash risks at signalised intersections using artificial intelligence-based video analytics

Y Ali, MM Haque, F Mannering - Analytic methods in accident research, 2023 - Elsevier
Pedestrians represent a vulnerable road user group at signalised intersections. As such,
properly estimating pedestrian crash risk at discrete short intervals is important for real-time …

Jamming transition in two-lane lattice model integrating the deception attacks on influx during the lane-changing process under vehicle to everything environment

G Peng, C Luo, H Zhao, H Tan - Chaos, Solitons & Fractals, 2023 - Elsevier
In the information area of actual traffic, the deception attack can affect the lane-changing rate
of influx during the lane-changing process on two lanes operating in a vehicle to everything …

An extreme value theory approach to estimate crash risk during mandatory lane-changing in a connected environment

Y Ali, MM Haque, Z Zheng - Analytic methods in accident research, 2022 - Elsevier
Examining crash risk in the highly anticipated connected environment is hindered by its
novelty and the consequent scarcity of relevant data. This study proposes an Extreme Value …

Investigating autonomous vehicle discretionary lane-changing execution behaviour: Similarities, differences, and insights from Waymo dataset

Y Ali, A Sharma, D Chen - Analytic Methods in Accident Research, 2024 - Elsevier
Recently released autonomous vehicle datasets like Waymo can provide rich information
(and unprecedented opportunities) to investigate lane-changing behaviour of autonomous …

Cooperative decision-making of multiple autonomous vehicles in a connected mixed traffic environment: A coalition game-based model

M Fu, S Li, M Guo, Z Yang, Y Sun, C Qiu… - … research part C …, 2023 - Elsevier
Advances in vehicle-networking technologies have enabled vehicles to cooperate in mixed
traffic. However, realizing the cooperative decision-making of multiple connected …

A deep learning framework to explore influences of data noises on lane-changing intention prediction

Y Li, F Liu, L **ng, C Yuan, D Wu - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The accuracy of the data is crucial to the real-time prediction of autonomous driving. Due to
factors such as weather and the accuracy of data collection equipment, there frequently exist …

[HTML][HTML] Calibrating lane-changing models: Two data-related issues and a general method to extract appropriate data

Y Ali, Z Zheng, MCJ Bliemer - Transportation research part C: emerging …, 2023 - Elsevier
Lane-changing is a routine but difficult driving task with important implications on traffic flow
characteristics. Despite significant progresses in lane-changing decision modeling, lane …

Enhancing social decision-making of autonomous vehicles: A mixed-strategy game approach with interaction orientation identification

J Liu, X Qi, P Hang, J Sun - IEEE Transactions on Vehicular …, 2024 - ieeexplore.ieee.org
The integration of Autonomous Vehicles (AVs) into existing human-driven traffic systems
poses considerable challenges, especially within environments where human and machine …