面向自动驾驶应用的车联多智能体信息融合协同决策机制研究

doi:10.11959/j.issn.2096-3750.2020.00179

Abstract

Abstract:

Autonomous vehicles play an important part in intelligent transportation systems.In these vehicles,driving control decision is obtained based on the collection of massive traffic states and intensive information processing.However,the spatial-temporal characteristics of the traffic states and the constrained environmental perception range of an individual vehicle seriously undermine the effectiveness of the state collection.Multi-agent driven collaborative decision provides a potential approach to address the problem.A multi-dimensional information fusion mechanism was proposed,which improved the gain of vehicular information fusion for autonomous driving tasks.Moreover,an intelligent distributed decision algorithm was designed for autonomous driving applications,which maximized the road traffic flow while maximizing the gain of information fusion on the autonomous driving mission under vehicular cost and resource constraints.Numerical results demonstrate the convergence and practicability of the proposed algorithm.

Key words: autonomous driving, multi-agent, information fusion, mobile edge service

CLC Number:

TP393

Jiayu CAO,Supeng LENG,Ke ZHANG. Multi-agent driven collaborative decision mechanism of information fusion for autonomous driving vehicles[J]. Chinese Journal on Internet of Things, 2020, 4(3): 69-77.

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References 21

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