Architecture for collecting traffic accident information based on blockchain
draft-zhang-t2trg-accident-blockchain-00
Network Working Group R. Li
Internet-Draft X. Zhang, Ed.
Intended status: Informational J. Fan
Expires: July 2, 2021 Inner Mongolia University
December 29, 2020
Architecture for collecting traffic accident information based on
blockchain
draft-zhang-t2trg-accident-blockchain-00
Abstract
Blockchain is a distributed technology, and it uses cryptography and
hash functions to store data in a chain to ensure that data are
tamper-resistant and traceable. So, this document proposes an
architecture for collecting traffic accident information based on
blockchain. At the same time, this document describes the working
method of collecting traffic accident information under this
architecture.
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Table of Contents
1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . 2
2. Relate work . . . . . . . . . . . . . . . . . . . . . . . . . 4
3. System structure . . . . . . . . . . . . . . . . . . . . . . 5
3.1. Perception layer . . . . . . . . . . . . . . . . . . . . 6
3.2. Edge computing layer . . . . . . . . . . . . . . . . . . 6
3.3. Service layer . . . . . . . . . . . . . . . . . . . . . . 6
4. Scheme design . . . . . . . . . . . . . . . . . . . . . . . . 7
4.1. Traffic accident information query . . . . . . . . . . . 7
4.2. Traffic accident information return . . . . . . . . . . . 7
4.2.1. Resource fragmenting method . . . . . . . . . . . . . 7
4.2.2. Resource Naming Method . . . . . . . . . . . . . . . 8
4.3. RSUs consensus . . . . . . . . . . . . . . . . . . . . . 8
4.4. Traffic accident information storage . . . . . . . . . . 9
5. Discuss . . . . . . . . . . . . . . . . . . . . . . . . . . . 10
6. IANA Considerations . . . . . . . . . . . . . . . . . . . . . 10
7. Security Considerations . . . . . . . . . . . . . . . . . . . 10
8. Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . 10
9. Acknowledgements . . . . . . . . . . . . . . . . . . . . . . 11
10. Informative References . . . . . . . . . . . . . . . . . . . 11
Authors' Addresses . . . . . . . . . . . . . . . . . . . . . . . 12
1. Introduction
With the development of society, there are more and more vehicles on
the road, and a problem that follows is that the incidence of traffic
accidents is also increasing. The frequent occurrence of traffic
accidents has brought a serious impact on human life, and has brought
certain pressure on the relevant traffic departments to deal with
traffic accidents. The handling of traffic accidents must be timely,
and the evidence must be obtained correctly, so as to avoid traffic
jams, secondary accidents and legal disputes. Therefore, how to use
the existing technology to quickly, correctly and effectively deal
with traffic accidents has become a very important issue.
The most important thing to deal with traffic accidents is to collect
traffic accident information (also known as "resources"). At
present, the main methods of collecting traffic accident information
are manual and automatic. Among them, manual methods include
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