Advances and applications of computer vision techniques in vehicle trajectory generation and surrogate traffic safety indicators

M Abdel-Aty, Z Wang, O Zheng, A Abdelraouf - Accident Analysis & …, 2023 - Elsevier
Abstract The application of Computer Vision (CV) techniques massively stimulates
microscopic traffic safety analysis from the perspective of traffic conflicts and near misses …

Deep dispatching: A deep reinforcement learning approach for vehicle dispatching on online ride-hailing platform

Y Liu, F Wu, C Lyu, S Li, J Ye, X Qu - Transportation Research Part E …, 2022 - Elsevier
The vehicle dispatching system is one of the most critical problems in online ride-hailing
platforms, which requires adapting the operation and management strategy to the dynamics …

CitySim: a drone-based vehicle trajectory dataset for safety-oriented research and digital twins

O Zheng, M Abdel-Aty, L Yue… - Transportation …, 2024 - journals.sagepub.com
The development of safety-oriented research and applications requires fine-grain vehicle
trajectories that not only have high accuracy, but also capture substantial safety-critical …

Car-following models: A multidisciplinary review

TT Zhang, PJ Jin, ST McQuade… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Car-following (CF) algorithms are crucial components of traffic simulations and have been
integrated into many production vehicles equipped with Advanced Driving Assistance …

I-24 MOTION: An instrument for freeway traffic science

D Gloudemans, Y Wang, J Ji, G Zachar… - … Research Part C …, 2023 - Elsevier
Abstract The Interstate-24 MObility Technology Interstate Observation Network (I-24
MOTION) is a new instrument for traffic science located near Nashville, Tennessee. I-24 …

[HTML][HTML] GOPS: A general optimal control problem solver for autonomous driving and industrial control applications

W Wang, Y Zhang, J Gao, Y Jiang, Y Yang… - Communications in …, 2023 - Elsevier
Solving optimal control problems serves as the basic demand of industrial control tasks.
Existing methods like model predictive control often suffer from heavy online computational …

Automatic vehicle trajectory data reconstruction at scale

Y Wang, D Gloudemans, J Ji, ZN Teoh, L Liu… - … Research Part C …, 2024 - Elsevier
In this paper we propose an automatic trajectory data reconciliation to correct common
errors in vision-based vehicle trajectory data. Given “raw” vehicle detection and tracking …

Physics-informed multi-step real-time conflict-based vehicle safety prediction

H Yao, Q Li, J Leng - Accident Analysis & Prevention, 2023 - Elsevier
Real-time vehicle safety prediction is critical in roadway safety management as drivers or
vehicles can be altered beforehand to take corresponding evasive actions and avoid …

An empirical study on fuel consumption of commercial automated vehicles

X Shi, H Yao, Z Liang, X Li - Transportation Research Part D: Transport and …, 2022 - Elsevier
Increasing commercial vehicles are equipped with automated driving features. Adaptive
cruise control, a critical longitudinal control system of commercial automated vehicles (AVs) …

Physics-aware learning-based vehicle trajectory prediction of congested traffic in a connected vehicle environment

H Yao, X Li, X Yang - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
The physics of shockwaves is a fundamental traffic characteristic that is useful for
microscopic traffic flow modeling. Thanks to connected vehicle technologies, it is possible to …