Modeling the effects of autonomous vehicles on human driver car-following behaviors using inverse reinforcement learning
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) …
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
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 …
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 …
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
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 …
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
Connected and automated vehicle technology via vehicle-to-everything communication, can
assist in improving energy efficiency for hybrid electric vehicles (HEVs). In particular …
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 …
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
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 …
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 …
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 …
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
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 …
Benefiting from the application of Connected Automated Vehicles (CAVs) in the foreseeing …