The paper introduces automotive safety cost formula, which defines the concept of private costs, technology costs and social costs and analyzes the impact of economic externalities in individual purchase decisions on ...The paper introduces automotive safety cost formula, which defines the concept of private costs, technology costs and social costs and analyzes the impact of economic externalities in individual purchase decisions on urban traffic safety in the private costs and discusses the concept of hard and soft technology and its function to improve vehicle safety. Take people, vehicles and the environment as the main line and points out the promoting role of the relevant state departments, policy, research institutions and transportation infrastructure in the social cost for the entire transportation system security. Finally, about the security of car crash in low speed on urban roads, the paper gives some recommendations as for private costs, technology costs and social costs factor.展开更多
With the rapid development of Internet of Vehicles(IoV)technologies,the automotive industry is undergoing a profound transformation from traditional mechanical systems to intelligent and connected systems.By integrati...With the rapid development of Internet of Vehicles(IoV)technologies,the automotive industry is undergoing a profound transformation from traditional mechanical systems to intelligent and connected systems.By integrating technologies such as 5G communi cation,V2X,edge computing,and artificial intelligence,the IoV has established an intelligent transportation system characterized by vehicle-road-cloud-terminal collaboration.Focusing on the two core topics of automotive safety and user experience in t he IoV era,this paper systematically reviews the security challenges and pathways for optimizing user experience,while also exploring future trends in their coordinated development.The study finds that IoV technologies offer significant advantages in en hancing traffic safety,improving traffic flow,and reducing energy consumption.However,they also face risks such as cybersecurity threats,data privacy breaches,and system reliability issues.Measures such as optimizing smart cockpi t interaction and ex panding full-scenario service ecosystems can effectively enhance both automotive safety and user experience.In the future,as technology continues to advance and supportive policies are further implemented,IoV technologies will driv e the automotive indus try toward a safer,smarter,and more efficient direction.展开更多
Recently,vehicles have experienced a rise in networking and informatization,leading to increased security concerns.As the most widely used automotive bus network,the Controller Area Network(CAN)bus is vulnerable to at...Recently,vehicles have experienced a rise in networking and informatization,leading to increased security concerns.As the most widely used automotive bus network,the Controller Area Network(CAN)bus is vulnerable to attacks,as security was not considered in its original design.This paper proposes SIDuBzip2,a traffic anomaly detection method for the CAN bus based on the bzip2 compression algorithm.The proposed method utilizes the pseudo-periodic characteristics of CAN bus traffic,constructing time series of CAN IDs and calculating the similarity between adjacent time series to identify abnormal traffic.The method consists of three parts:the conversion of CAN ID values to characters,the calculation of similarity based on bzip2 compression,and the optimal solution of model parameters.The experimental results demonstrate that the proposed SIDuBzip2 method effectively detects various attacks,including Denial of Service,replay,basic injection,mixed injection,and suppression attacks.In addition,existing CAN bus traffic anomaly detection methods are compared with the proposed method in terms of performance and delay,demonstrating the feasibility of the proposed method.展开更多
文摘The paper introduces automotive safety cost formula, which defines the concept of private costs, technology costs and social costs and analyzes the impact of economic externalities in individual purchase decisions on urban traffic safety in the private costs and discusses the concept of hard and soft technology and its function to improve vehicle safety. Take people, vehicles and the environment as the main line and points out the promoting role of the relevant state departments, policy, research institutions and transportation infrastructure in the social cost for the entire transportation system security. Finally, about the security of car crash in low speed on urban roads, the paper gives some recommendations as for private costs, technology costs and social costs factor.
文摘With the rapid development of Internet of Vehicles(IoV)technologies,the automotive industry is undergoing a profound transformation from traditional mechanical systems to intelligent and connected systems.By integrating technologies such as 5G communi cation,V2X,edge computing,and artificial intelligence,the IoV has established an intelligent transportation system characterized by vehicle-road-cloud-terminal collaboration.Focusing on the two core topics of automotive safety and user experience in t he IoV era,this paper systematically reviews the security challenges and pathways for optimizing user experience,while also exploring future trends in their coordinated development.The study finds that IoV technologies offer significant advantages in en hancing traffic safety,improving traffic flow,and reducing energy consumption.However,they also face risks such as cybersecurity threats,data privacy breaches,and system reliability issues.Measures such as optimizing smart cockpi t interaction and ex panding full-scenario service ecosystems can effectively enhance both automotive safety and user experience.In the future,as technology continues to advance and supportive policies are further implemented,IoV technologies will driv e the automotive indus try toward a safer,smarter,and more efficient direction.
文摘Recently,vehicles have experienced a rise in networking and informatization,leading to increased security concerns.As the most widely used automotive bus network,the Controller Area Network(CAN)bus is vulnerable to attacks,as security was not considered in its original design.This paper proposes SIDuBzip2,a traffic anomaly detection method for the CAN bus based on the bzip2 compression algorithm.The proposed method utilizes the pseudo-periodic characteristics of CAN bus traffic,constructing time series of CAN IDs and calculating the similarity between adjacent time series to identify abnormal traffic.The method consists of three parts:the conversion of CAN ID values to characters,the calculation of similarity based on bzip2 compression,and the optimal solution of model parameters.The experimental results demonstrate that the proposed SIDuBzip2 method effectively detects various attacks,including Denial of Service,replay,basic injection,mixed injection,and suppression attacks.In addition,existing CAN bus traffic anomaly detection methods are compared with the proposed method in terms of performance and delay,demonstrating the feasibility of the proposed method.
