同济大学学报（自然科学版）2022，Vol.50Issue(12)：1715-1727,13.DOI:10.11908/j.issn.0253-374x.22406
一种网络攻击下网联自动车的改进换道模型
An Improved Lane-changing Model for Connected Automated Vehicles Under Cyberattacks
摘要
Abstract
The connected automated vehicle (CAV) is promising to enhance traffic efficiency,traveling safety, and energy savings. However,due to the open wireless communication,the CAV is vulnerable to cyber threats. Existing studies mainly focus on surveying related cyberattacks and evaluating the impact of attacks on vehicular longitudinal behaviors on a single lane. This paper aims to investigate the effects of cyberattacks on vehicular lateral behaviors on a two-lane highway,i. e., the lane-changing (LC) behaviors under cyberattacks. Based on a classical lane-changing model--minimizing overall braking induced by lane changes(MOBIL)model, and a classical car-following model--Intelligent Driver Model (IDM), this study proposes an extended lane-changing model (ELC) which can model CAV's lane-changing behaviors under cyberattacks. At the end, simulations are conducted to illustrate the impact of different malicious attacks on vehicles' LC movements. Results show that cyberattacks can imperil the LC maneuvers and lead to abnormal driving behaviors.关键词
网联自动车/换道行为/网络攻击/最小化换道总制动模型/智能驾驶员模型Key words
connected automated vehicles/lane-changing/cyberattacks/MOBIL model/intelligent driver model分类
交通工程引用本文复制引用
吴新开,何山,张少伟,贺晓征,王斯奋..一种网络攻击下网联自动车的改进换道模型[J].同济大学学报（自然科学版）,2022,50(12):1715-1727,13.基金项目
国家自然科学基金青年基金(52002013) （52002013）
国家自然科学基金面上项目(61773040) （61773040）
