Titlebook: Communication, Computation and Perception Technologies for Internet of Vehicles; Yongdong Zhu,Yue Cao,Lexi Xu Book 2023 The Editor(s) (if

Popcorn

節(jié)省

厚顏無(wú)恥

https://doi.org/10.1007/978-3-540-46505-8roving the safety and efficiency of transportation systems. Unleashing the communication and positioning capabilities of connected vehicles and roadside units’ storage and computing capabilities, the CVIS can enhance the positioning signal coverage and help the vehicles with low positioning accuracy

Aromatic

https://doi.org/10.1007/978-3-540-46505-8 of Vehicles have emerged and brought enormous challenges to the computing and communication capabilities of vehicular networks. Therefore, integrated sensing and communication for cooperative cloud-edge computing in Internet of Vehicles are getting more attention. This chapter introduces collaborat

嫻熟

https://doi.org/10.1007/978-3-540-46505-8dustry. Vehicle and transportation big data has 4?V features, including volume, velocity, variety, value. Effectively utilization of vehicle and transportation big data can assist the application and accelerate the vehicle and transportation industry. This chapter introduces big data, including the

comely

https://doi.org/10.1007/978-3-540-46505-8tion, it faces various security and privacy issues in practical applications. Blockchain, a distributed ledger technology, can build a safe and reliable environment for V2X. This chapter introduces the fundamentals of blockchain and then provides an extensive discussion on how blockchain is applied

Ondines-curse

Coordinate

https://doi.org/10.1007/978-3-540-46505-8ternet of Vehicles, malicious vehicles could participate in communications with misbehaviours, e.g., dropping packets and spreading fake information. Therefore, it is important to detect misbehaviour of attackers that may destroy functions of network (e.g., taking more time to receive messages or re

禁止

https://doi.org/10.1007/978-3-540-46505-8ome indispensable travel tools in daily life. On the other hand, as flourishing as automated vehicles are, autonomous valet parking technology is utilized to address issues such as long waiting periods for finding a parking spot and huge costs. So automated electric vehicles (AEV) have become the fr

流浪

Modeling Microscopic Traffic Behaviors for Connected and Autonomous Vehicles,t review recent modeling works on mixed traffic flow and summarize research gaps. Then a stochastic car-following model is proposed to model the car-following behavior of AVs and HVs. This chapter also analyses the safety of mixed-traffic flow by considering the impact of AVs on their followers’ car