IoV and Blockchain-Enabled Driving Guidance Strategy in Complex Traffic Environment

作     者：Yuchuan Fu Changle Li Tom H.Luan Yao Zhang Yuchuan Fu;Changle Li;Tom H.Luan;Yao Zhang

作者机构：State Key Laboratory of Integrated Services NetworksXidian UniversityXi’an 710071China Research Institute of Smart TransportationXidian UniversityXi’an 710071China Northwestern Polytechnical UniversityXi’an 710072China 

出 版 物：《China Communications》 (中国通信（英文版）)

年 卷 期：2023年第20卷第12期

页      面：230-243页

核心收录：

学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 0839[工学-网络空间安全] 08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the National Natural Science Foundation of China(62231020,62101401) the Fundamental Research Funds for the Central Universities(ZYTS23178) the Youth Innovation Team of Shaanxi Universities 

主　　题：autonomous driving guidance blockchain communication range Internet of Vehicles reinforcement learning 

摘      要：Diversified traffic participants and complex traffic environment(e.g.,roadblocks or road damage exist)challenge the decision-making accuracy of a single connected and autonomous vehicle(CAV)due to its limited sensing and computing *** Internet of Vehicles(IoV)to share driving rules between CAVs can break limitations of a single CAV,but at the same time may cause privacy and safety *** tackle this problem,this paper proposes to combine IoV and blockchain technologies to form an efficient and accurate autonomous guidance ***,we first use reinforcement learning for driving decision learning,and give the corresponding driving rule extraction ***,an architecture combining IoV and blockchain is designed to ensure secure driving rule ***,the shared rules will form an effective autonomous driving guidance strategy through driving rules selection and action *** simulation proves that the proposed strategy performs well in complex traffic environment,mainly in terms of accuracy,safety,and robustness.