Latest revision as of 16:08, 12 February 2021

Abstract

Autonomous vehicle platoon is a promising paradigm towards traffic congestion problems in the intelligent transportation system. However, under certain circumstances, the advantage of the platoon cannot be fully developed. In this paper, we focus on the highway Electronic Toll Collection (ETC) charging problem. We try to let the opportunistic platoon pass the ETC as a whole. There are three main issues in this scenario. Firstly, the opportunistic platoon is temporarily composed; vehicles do not trust each other. Secondly, single vehicle may try to escape from the ETC charging by following the platoon. Finally, platoon members may collude with each other and try to underreport the number of vehicles in the platoon so as to evade payment. To solve these challenges, we propose a blockchain-based efficient highway toll paradigm for the opportunistic platoon. The driving history, credential information of every registered vehicle, is recorded and verified from the blockchain. A roadside unit (RSU) is adopted to distinguish the single vehicle from the platoon and in charge of lane allocation. Additionally, an aggregate signature is introduced to accelerate the authentication procedure in the RSU. We analyse the potential security threats in this scenario. The experimental result indicates that our scheme is efficient and practical.

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The different versions of the original document can be found in:

• http://dx.doi.org/10.1155/2020/8868656 under the license http://creativecommons.org/licenses/by/4.0/

• https://doi.org/10.1155/2020/8868656

• http://downloads.hindawi.com/journals/wcmc/2020/8868656.pdf,

http://downloads.hindawi.com/journals/wcmc/2020/8868656.xml,

http://dx.doi.org/10.1155/2020/8868656 under the license cc-by

• http://dx.doi.org/10.1155/2020/8868656,

https://doaj.org/toc/1530-8669,

https://doaj.org/toc/1530-8677 under the license http://creativecommons.org/licenses/by/4.0/

• https://dblp.uni-trier.de/db/journals/wicomm/wicomm2020.html#YingYM20,

https://www.hindawi.com/journals/wcmc/2020/8868656,

http://downloads.hindawi.com/journals/wcmc/2020/8868656.pdf,

https://academic.microsoft.com/#/detail/3088044589