收藏切换
Vehicle Information Management and Accident Digital Forensics System Based on Blockchain
收藏切换
PDF
Zhihong Tang1, Yali Peng2
Automobile Technology | 2023, (6) : 17 - 23
Less
收藏切换
Automobile Technology | 2023, (6): 17-23
Vehicle Information Management and Accident Digital Forensics System Based on Blockchain
Full
Zhihong Tang1, Yali Peng2
Affiliations
  • 1 Jiangxi University of Technology, Nanchang 330098
  • 2 Jiangxi Normal University, Nanchang 330022
Published: 2023-06-24 doi: 10.19620/j.cnki.1000-3703.20220694
Outline
收藏切换

In order to improve the intelligent level of evidence collection and responsibility determination of traffic accidents, this article proposed a vehicle information management and accident forensics system based on blockchain and consensus mechanism. Vehicle information was managed in a permissioned blockchain framework, and the communication between the Electronic Control Unit (ECU) of the vehicle and the Road Side Unit (RSU) was used to ensure the legitimacy and integrity of vehicle data. In the proposed traffic accident digital forensics scheme, the data from involved vehicles was automatically managed by the RSU, and a consensus on data reliability was achieved through the practical Byzantine Fault Tolerance (pBFT) protocol. The experimental results show that the proposed blockchain scheme is able to meet the real-time requirements of transportation applications, and the block generation delay and Q-A verification delay in the experimental scenario do not exceed 18.13 ms and 1.55 ms, respectively. The qualitative results show that the proposed framework is able to resist known security attacks, ensure data reliability, and can help law enforcement achieve fair traffic accident liability determination.

Vehicle information management  /  Traffic accident digital forensics  /  Blockchain  /  Consensus mechanism  /  Credit management system  /  Practical Byzantine fault tolerance
Zhihong Tang, Yali Peng. Vehicle Information Management and Accident Digital Forensics System Based on Blockchain[J]. Automobile Technology, 2023 , (6) : 17 -23 . DOI: 10.19620/j.cnki.1000-3703.20220694
Year 2023 volume Issue 6
PDF
260
106
Cite this Article
BibTeX
Article Info
doi: 10.19620/j.cnki.1000-3703.20220694
  • Online Date:2025-12-07
  • Published:2023-06-24
Article Data
Affiliations
History
  • Revised:2022-10-05
Funding
Affiliations
    1 Jiangxi University of Technology, Nanchang 330098
    2 Jiangxi Normal University, Nanchang 330022
References
Share
https://castjournals.cast.org.cn/joweb/qcjs/EN/10.19620/j.cnki.1000-3703.20220694
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT