Paper Info
Title
Safe and Energy-Saving Vehicle-Following Driving Decision-Making Framework of Autonomous Vehicles
Abstract
The safety and energy efficiency of autonomous vehicles in the vehicle-following driving scenario is seriously affected by the decision-making framework. This article proposes a safe and energy-saving decision-making framework for autonomous vehicles to avoid the potential rear-end collision and improve the energy efficiency in vehicle-following driving scenario. To realize this framework, the vehicle longitudinal dynamics model is first presented, and the autonomous vehicle's requirements from the safety and energy efficiency perspectives are comprehensively analyzed in the vehicle-following driving scenario. Then, a two-stage decision-making framework is designed. The first stage determines the safety region in the powertrain control domain, and the second stage determines the optimal energy efficiency in the safety region. Based on the two-stage decision-making framework, the perspective of safety first" principle can be enforced by simultaneously considering the driving safety and energy efficiency. Finally, the experiment is conducted to demonstrate the advantages of the proposed method by comparing it with two other state-of-art methods.
Year
DOI
Venue
2022
10.1109/TIE.2021.3125562
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
Keywords
DocType
Volume
Autonomous vehicles, decision-making, driving safety, energy optimization, intelligent transportation system, vehicle-following driving
Journal
69
Issue
ISSN
Citations 
12
0278-0046
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Ying Zhang116325.25
Tao You200.34
Jinchao Chen300.34
Chenglie Du4248.41
Zhaoyang Ai531.52
Xiaobo Qu626726.43