Block Chain and Big Data-Enabled Intelligent Vehicular Communication

Shahid Mumtaz, Anwer Al-Dulaimi, Haris Gacanin, Ai Bo
2021 IEEE transactions on intelligent transportation systems (Print)  
has increased every year, and this growth is projected to continue unabated. Thus, the congestions, incidents, and environmental pollution which are caused by the increasing number of road vehicles and traffics have resulted in hundreds of millions of losses and become a major challenge to the sustainable development of recent human society. Both academia and industry have already reached a consensus that vehicular communication is a vital element to extend the sensing ability of vehicles for
more » ... suring safety driving. Unfortunately, current vehicular communication cannot meet the security, reliability, and effectiveness and other needs of ITS. The industry needs a more intelligent vehicular communication to support secure and reliable transmission of data. Therefore, the research community has to focus more on enhanced and completely new communication techniques. With the security threats and underutilization of vehicular data, intelligent vehicular communication appears more and more to be one of the key enabling technologies needed to address the bottlenecks of the currently vehicular communication networks. Novel techniques and technologies are needed to provide the necessary intelligence and adaptation for information security and cooperation of the more and more different existing vehicular communication systems. Under the so-called big data and blockchain technologies, the large volume of vehicular data can be well exploited to improve vehicular communication and the information can be managed in a more secure way. The blockchain infrastructure provides the ability for transaction records not to be tampered with or modified in vehicular communication. The technology of big data is conducive to real-time monitoring of vehicle status, road emergency prediction and road planning applications. In other applications, using big data to identify driver's driving habits and develop usage-based insurance as well as personalized recommend vehicle maintenance services. While some initial steps toward the implementation of intelligent vehicular communication concepts have already been taken, there are still big challenges that need to be tackled, before the full potential of vehicular communication techniques can be achieved. This Special Issue aims to report on new theoretical results and applications of intelligent vehicular communication.
doi:10.1109/tits.2021.3090720 fatcat:nblknyxbzjfslna3h7zrrtozky