A New Hybrid Model Predictive Controller Design for Adaptive Cruise of Autonomous Electric Vehicles
Autonomous driving is an appealing research topic for integrating advanced intelligent algorithms to transform automotive industries and human commuting. This paper focuses on a hybrid model predictive controller (MPC) design for an adaptive cruise. The driving modes are divided into following and c...
Saved in:
Main Authors: | Yuanhang Chen, Guodong Feng, Shaofang Wu, Xiaojun Tan |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
|
Series: | Journal of Advanced Transportation |
Online Access: | http://dx.doi.org/10.1155/2021/6626243 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Cruising for Parking with Autonomous and Conventional Vehicles
by: Mehdi Nourinejad, et al.
Published: (2021-01-01) -
Impacts of Cooperative Adaptive Cruise Control Links on Driving Comfort under Vehicle-to-Vehicle Communication
by: Yongchun Li, et al.
Published: (2022-01-01) -
Energy management in autonomous hybrid electric vehicles: A review
by: Abid H., et al.
Published: (2025-01-01) -
Design and Analysis of Collaborative Unmanned Surface-Aerial Vehicle Cruise Systems
by: Man Zhu, et al.
Published: (2019-01-01) -
Detecting Subtle Cyberattacks on Adaptive Cruise Control Vehicles: A Machine Learning Approach
by: Tianyi Li, et al.
Published: (2025-01-01)