Modeling Driver Behavior in Car-Following Interactions With Automated and Human-Driven Vehicles and Energy Efficiency Evaluation
Human drivers can have diverse car-following behaviors when interacting with connected and automated vehicles (CAVs) and other human-driven vehicles in mixed traffic where many human-driven vehicles and a limited number of CAVs frequently interact and share the road. In this study, Inverse Reinforce...
Main Authors: | Mehmet Fatih Ozkan, Yao Ma |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9411849/ |
Similar Items
-
Automated Driving and Driver Assistance Systems /
by: Denton, Tom, author 226525
Published: (2020) -
Takeover Safety Analysis with Driver Monitoring Systems and Driver–Vehicle Interfaces in Highly Automated Vehicles
by: Dongyeon Yu, et al.
Published: (2021-07-01) -
Effects of Marking Automated Vehicles on Human Drivers on Highways
by: Tanja Fuest, et al.
Published: (2020-05-01) -
Model for the cooperative obstacle‐avoidance of the automated vehicle swarm in a connected vehicles environment
by: Donghai Zhai, et al.
Published: (2023-06-01) -
Advanced e-Call Support Based on Non-Intrusive Driver Condition Monitoring for Connected and Autonomous Vehicles
by: Marius Minea, et al.
Published: (2021-12-01)