基于区块链的智能网联车队协同轨迹预测系统

doi:10.11959/j.issn.2096-109x.2020015

Abstract

Abstract:

Autonomous vehicles have been extensively researched and developed rapidly in recent years.However,these vehicles may be not able to avoid collision with vehicles that appear suddenly.To solve this problem,a cooperative trajectory prediction system for intelligent and automated connected convoy based on blockchain was proposed.In the proposed system,each node in the intelligent and automated connected convoy and roadside infrastructure predict the trajectory of vehicles around them with the LSTM model,and they share the information they get.Using blockchain,the intelligent and automated connected convoy and roadside infrastructure rate the received messages.The summarized rating will be stored as a block in the blockchain that stores the trust values.Vehicles in the intelligent and automated connected convoy are able to judge whether the other nodes in the Conroy are credible according to their trust value,and messages from the low trust value sender will be ignored,thus achieving cooperative driving.Experiment shows that the proposed system plays a significant role in improving driving safety of the intelligent connected platoon.

Key words: intelligent and automated connected convoy, trajectory prediction, LSTM, trust management, blockchain

CLC Number:

TP393

Rensheng WANG,Tianhao WU,Lin ZHANG,Konglin ZHU. Cooperative trajectory prediction system for intelligent and automated connected convoy based on blockchain[J]. Chinese Journal of Network and Information Security, 2020, 6(3): 78-87.

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预测时间/s	KF	VGMM	RNN	LSTM
1	0.76	0.68	0.62	0.60
2	1.79	1.60	1.35	1.27
3	3.16	2.75	2.24	2.08
4	4.78	4.24	3.29	3.10
5	6.72	5.98	4.78	4.32

Cooperative trajectory prediction system for intelligent and automated connected convoy based on blockchain

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