Vehicle Safety Communications: Protocols, Security, and Privacy
By Tao Zhang and Luca Delgrossi
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About this ebook
Provides an up-to-date, in-depth look at the current research, design, and implementation of cooperative vehicle safety communication protocols and technology
Improving traffic safety has been a top concern for transportation agencies around the world and the focus of heavy research and development efforts sponsored by both governments and private industries. Cooperative vehicle systems—which use sensors and wireless technologies to reduce traffic accidents—can play a major role in making the world's roads safer.
Vehicle Safety Communications: Protocols, Security, and Privacy describes fundamental issues in cooperative vehicle safety and recent advances in technologies for enabling cooperative vehicle safety. It gives an overview of traditional vehicle safety issues, the evolution of vehicle safety technologies, and the need for cooperative systems where vehicles work together to reduce the number of crashes or mitigate damage when crashes become unavoidable.
Authored by two top industry professionals, the book:
- Summarizes the history and current status of 5.9 GHz Dedicated Short Range Communications (DSRC) technology and standardization, discussing key issues in applying DSRC to support cooperative vehicle safety
- Features an in-depth overview of on-board equipment (OBE) and roadside equipment (RSE) by describing sample designs to illustrate the key issues and potential solutions
- Takes on security and privacy protection requirements and challenges, including how to design privacy-preserving digital certificate management systems and how to evict misbehaving vehicles
- Includes coverage of vehicle-to-infrastructure (V2I) communications like intersection collision avoidance applications and vehicle-to-vehicle (V2V) communications like extended electronic brake lights and intersection movement assist
Vehicle Safety Communications is ideal for anyone working in the areas of—or studying—cooperative vehicle safety and vehicle communications.
Tao Zhang
Tao Zhang is a Senior Hardware Engineer at Argo AI, where he is working on the hardware development for Argo AI’s autonomous driving technologies. Prior to Argo AI, Tao was with Google. He was a hardware engineer at Google Fiber, designing next generation tunable optical transceivers, and a researcher at Google AI, working on the edge-TPU product development and doing research on machine learning hardware. Tao has experience on both transistor-level and board-level circuit/hardware designs. Before joining Google, he spent 10 years at several companies and institutions, including VIA technologies, LSI corporation and CERN, working on Integrated Circuit Design and Verification. His research interests are high-speed circuit design and machine learning hardwares.
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