Future worldwide 6G research will drive the evolution of emerging intelligent control technologies, such as intelligent speed advisory systems (ISA), to a more advanced generation. As a special type of ISA, consensus-based speed advisory systems (CSAS) can be widely used to recommend a consensus speed for a vehicle platoon, enabling minimizing energy consumption or emissions over a planned route. Recently, speed recommendation services that protect data privacy (i.e., how to obtain an optimal speed in a privacy-preserving way) have drawn tremendous attention. However, current approaches could still encounter service trust issues with central servers and the malicious behavior of vehicles. Furthermore, existing research lacks considering road safety constraints (i.e., safe distance between adjacent vehicles and road speed limits) that are essential for the practical deployment of CSAS. To address the above issues, this paper proposes Eco-CSAS, a safe and eco-friendly consensus speed advisory system using blockchain. We formulate an optimization problem subject to the minimum following distance and maximum road speed limit to minimize the energy consumption of the automatic vehicle platoon. In addition, we introduce a consortium blockchain and cryptographic primitives to ensure service trust and data privacy. We implement the system on the Hyperledger platform, and experimental results show that the system can achieve speed recommendations in a trustworthy and privacy-preserving manner while ensuring a secure platoon.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Eco-CSAS: A Safe and Eco-Friendly Speed Advisory System for Autonomous Vehicle Platoon Using Consortium Blockchain


    Contributors:
    Li, Shike (author) / Li, Jianbin (author) / Pei, Jiaming (author) / Wu, Sixing (author) / Wang, Shen (author) / Cheng, Long (author)


    Publication date :

    2023-07-01


    Size :

    2039619 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    MPC-CSAS: Multi-Party Computation for Real-Time Privacy-Preserving Speed Advisory Systems

    Liu, Mingming / Cheng, Long / Gu, Yingqi et al. | IEEE | 2022

    Free access

    Circuit and Safety Analysis System (CSAS)

    Corcelle, F. / Wright, P. G. | SAE Technical Papers | 2000


    Circuit and Safety Analysis System (CSAS)

    Corcelle, F. / Wright, P. G. / SAE | British Library Conference Proceedings | 2000


    Circuit and Safety Analysis System ( CSAS )

    Corcelle,F. / Wright,P.G. / Federation Internat.de l Automobile,FIA,CH | Automotive engineering | 2000