[HTML][HTML] Automated vehicle-involved traffic flow studies: A survey of assumptions, models, speculations, and perspectives

H Yu, R Jiang, Z He, Z Zheng, L Li, R Liu… - … research part C: emerging …, 2021 - Elsevier
Automated vehicles (AVs) are widely considered to play a crucial role in future transportation
systems because of their speculated capabilities in improving road safety, saving energy …

Autonomous Vehicles in Mixed Traffic Conditions—A Bibliometric Analysis

M Azam, SA Hassan, O Che Puan - Sustainability, 2022 - mdpi.com
Autonomous Vehicles (AVs) with their immaculate sensing and navigating capabilities are
expected to revolutionize urban mobility. Despite the expected benefits, this emerging …

Dynamic-learning spatial-temporal Transformer network for vehicular trajectory prediction at urban intersections

M Geng, Y Chen, Y Xia, XM Chen - Transportation research part C …, 2023 - Elsevier
Forecasting vehicles' future motion is crucial for real-world applications such as the
navigation of autonomous vehicles and feasibility of safety systems based on the Internet of …

Modeling and analyzing cyberattack effects on connected automated vehicular platoons

P Wang, X Wu, X He - Transportation research part C: emerging …, 2020 - Elsevier
Vehicular platooning requires an open-access environment of vehicle communications to
enable cooperating connected automated vehicles (CAVs) to share their travel information …

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 …

Energy consumption characteristics based driving conditions construction and prediction for hybrid electric buses energy management

Y Wang, K Li, X Zeng, B Gao, J Hong - Energy, 2022 - Elsevier
The energy consumption characteristics of driving condition is very important for hybrid
electric buses energy management. In this paper, an energy consumption characteristics …

Integrated macro-micro modelling for individual vehicle trajectory reconstruction using fixed and mobile sensor data

X Chen, J Yin, G Qin, K Tang, Y Wang, J Sun - … Research Part C: Emerging …, 2022 - Elsevier
Vehicle trajectories can provide a clear picture of the traffic flow that plays a pivotal role in
traffic management and control. Two types of traffic sensors, ie, fixed and mobile sensors …

Lane-level trajectory reconstruction based on data-fusion

MA Arman, CMJ Tampère - Transportation research part C: emerging …, 2022 - Elsevier
While lane-changing movements are performed on the entire motorway network for various
reasons, such as overtaking, their intensity is substantially greater near complex segments …

A novel hierarchical cooperative merging control model of connected and automated vehicles featuring flexible merging positions in system optimization

Z Tang, H Zhu, X Zhang, M Iryo-Asano… - … research part C …, 2022 - Elsevier
Merging sections on freeways are typical bottlenecks for traffic efficiency and safety. The
connected and automated vehicles (CAV) technology has great capability in improving traffic …

A particle filter-based approach for vehicle trajectory reconstruction using sparse probe data

L Wei, Y Wang, P Chen - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
Trajectory data collected from probe vehicles become increasingly important for urban traffic
operation and management. However, current data tend to be sparse in time and space due …