A type of network is vanet in which number of vehicles can communicate within another vehicle and with roadside equipment which is termed vehicular ad-hoc networks. It facilitates a lot of safety applications as well as traffic efficiency and comfort enhancement among everyday life. Through the long-standing development of communication and network facilities in the last few years and their increasing maturity in terms of technology on board the vehicle, networks are created among vehicles which must cater for real-time and high-throughput data needs, particularly for AI-optimized VANETs for autonomous vehicles. The development of vehicular networks and their significance for autonomous driving is critically discussed in this chapter. This work presents real-time vehicular-to-vehicular (V2V) communications technologies and applications for pedestrian safety in AI-optimized VANETs for autonomous vehicles. Real-world case studies where such installations have been performed and tested will be reviewed with some systems requiring standards noted regarding interoperability with the existing traffic management systems.

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Real-Time Vehicular-to-Vehicular (V2V) Communication and Applications for Pedestrian Safety in AI-Optimized VANETs for Autonomous Vehicles

  • Rupali Atul Mahajan,
  • Rajesh Dey,
  • Mudassir Khan,
  • Kavita Kanabar,
  • Shashi Kant Gupta

摘要

A type of network is vanet in which number of vehicles can communicate within another vehicle and with roadside equipment which is termed vehicular ad-hoc networks. It facilitates a lot of safety applications as well as traffic efficiency and comfort enhancement among everyday life. Through the long-standing development of communication and network facilities in the last few years and their increasing maturity in terms of technology on board the vehicle, networks are created among vehicles which must cater for real-time and high-throughput data needs, particularly for AI-optimized VANETs for autonomous vehicles. The development of vehicular networks and their significance for autonomous driving is critically discussed in this chapter. This work presents real-time vehicular-to-vehicular (V2V) communications technologies and applications for pedestrian safety in AI-optimized VANETs for autonomous vehicles. Real-world case studies where such installations have been performed and tested will be reviewed with some systems requiring standards noted regarding interoperability with the existing traffic management systems.