Modeling the effects of autonomous vehicles on human driver car-following behaviors using inverse reinforcement learning

X Wen, S Jian, D He - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
The development of autonomous driving technology will lead to a transition period during
which human-driven vehicles (HVs) will share the road with autonomous vehicles (AVs) …

An examination of teen drivers' car-following behavior under naturalistic driving conditions: With and without an advanced driving assistance system

S Bao, L Wu, B Yu, JR Sayer - Accident Analysis & Prevention, 2020 - Elsevier
Teen drivers are overrepresented in motor vehicle crashes, and most studies concluded it
was mainly due to their lack of experiences and tendencies of risk-taking. The design of …

Effect of front two adjacent vehicles' velocity information on car-following model construction and stability analysis

X Wang, M Liu, Y Ci, L Wu - Physica A: Statistical Mechanics and its …, 2022 - Elsevier
Herein, an extended car-following model is proposed considering the anticipative velocity
and average velocity information of front adjacent and sub-adjacent vehicles based on …

Modeling and simulation of approaching behaviors to signalized intersections based on risk quantification

J Hua, G Lu, HX Liu - Transportation research part C: emerging …, 2022 - Elsevier
The stop/go decisions made by drivers who are approaching signalized intersections during
yellow period will affect the safety and efficiency of intersections. Existing research mostly …

Hierarchical Optimization of Speed Planning and Energy Management for Connected Hybrid Electric Vehicles Under Multi-Lane and Signal Lights Aware Scenarios

J Peng, F Zhang, S Coskun, X Hu… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Connected and automated vehicle technology via vehicle-to-everything communication, can
assist in improving energy efficiency for hybrid electric vehicles (HEVs). In particular …

Trajectory planning based on spatio-temporal map with collision avoidance guaranteed by safety strip

T Zhang, M Fu, W Song, Y Yang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Trajectory planning for the unmanned vehicle in the complex environment has always been
a challenging task. Planned trajectory with the corresponding target velocity or acceleration …

Physical Model versus Artificial Neural Network (ANN) Model: A Comparative Study on Modeling Car‐Following Behavior at Signalized Intersections

L Yang, S Fang, G Wu, H Sheng, Z Xu… - Journal of advanced …, 2022 - Wiley Online Library
Many studies have simulated traffic behavior at signalized intersections using various Car‐
Following (CF) models. However, the performance of which CF Model is superior at …

An improved car-following model considering electronic throttle dynamics and delayed velocity difference

S Li, R Cheng, H Ge - Physica A: Statistical Mechanics and Its Applications, 2020 - Elsevier
With consideration of the effect of the electronic throttle dynamics, an improved car-following
model is constructed in this paper. In the new model, the control signals including the …

Eco-driving control for CAVs at signalized intersections: Adapting to traffic uncertainties

K Lu, Y Chen, Y Tong, J Zhang, Y Luo… - … Research Part D …, 2024 - Elsevier
Eco-driving control for connected and automated vehicles (CAVs) presents significant
energy-saving potential by enabling smooth, non-stop travel through signalized …

[HTML][HTML] Spatiotemporal-restricted A∗ algorithm as a support for lane-free traffic at intersections with mixed flows

H Chi, P Cai, D Fu, J Zhai, Y Zeng, B Shi - Green Energy and Intelligent …, 2024 - Elsevier
Improving the capacity of intersections is the key to enhancing road traffic systems.
Benefiting from the application of Connected Automated Vehicles (CAVs) in the foreseeing …