[HTML][HTML] About calibration of car-following dynamics of automated and human-driven vehicles: Methodology, guidelines and codes

V Punzo, Z Zheng, M Montanino - Transportation Research Part C …, 2021 - Elsevier
A comprehensive literature review reveals that there exist lots of ambiguities, confusion and
even contradictions in setting a car-following calibration problem. In particular, confusion …

[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 …

Processing, assessing, and enhancing the Waymo autonomous vehicle open dataset for driving behavior research

X Hu, Z Zheng, D Chen, X Zhang, J Sun - Transportation Research Part C …, 2022 - Elsevier
Abstract Recently released Autonomous Vehicle (AV) trajectory datasets can potentially
catalyze research progress on AV-oriented traffic flow analysis. This paper aims to …

Assessing traffic disturbance, efficiency, and safety of the mixed traffic flow of connected vehicles and traditional vehicles by considering human factors

A Sharma, Z Zheng, J Kim, A Bhaskar… - … research part C: emerging …, 2021 - Elsevier
In the foreseeable future, connected vehicles (CVs) will coexist with traditional vehicles
(TVs) resulting in a complex mixed traffic environment and the success of CVs will depend …

Connected and automated vehicles: Opportunities and challenges for transportation systems, smart cities, and societies

A Sharma, Z Zheng - … Cities: Design, Construction, Operation and Future …, 2021 - Springer
Abstract Connected and Automated Vehicles (CAVs) technology offers a potential solution to
massive road transport issues in the areas of safety, mobility, and the environment. For road …

A multimodal physiological dataset for driving behaviour analysis

X Tao, D Gao, W Zhang, T Liu, B Du, S Zhang, Y Qin - Scientific data, 2024 - nature.com
Physiological signal monitoring and driver behavior analysis have gained increasing
attention in both fundamental research and applied research. This study involved the …

Optimal lane-changing trajectory planning for autonomous vehicles considering energy consumption

Z Yao, H Deng, Y Wu, B Zhao, G Li, Y Jiang - Expert Systems with …, 2023 - Elsevier
The emerging autonomous vehicles (AVs) technologies provide a new opportunity to design
a better lane-changing trajectory to reduce traffic congestion. The existing research on lane …

Calibration of the intelligent driver model (IDM) with adaptive parameters for mixed autonomy traffic using experimental trajectory data

A Alhariqi, Z Gu, M Saberi - Transportmetrica B: transport dynamics, 2022 - Taylor & Francis
Autonomous vehicles (AVs) are expected and demonstrated to increase local traffic
throughput and improve traffic stability. However, their car-following behaviour is not fully …