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Application of networked discrete event system theory on intelligent transportation systems

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The responses of vehicles to the changes in traffic situations inevitably have delays in observing an event and implementing a control command,which often causes fatal accidents.So far,the methods for handling delays are empirical and cannot be mathematically proven.To eliminate the accidents caused by such delays,in this paper,we develop mathematically prov-able methods to handle these delays.Specifically,we use networked discrete event systems to model the process of driving vehicles and present a supervisory controller for handling delay situations.The method developed in this paper could serve as a new start for modeling and controlling the responsive behaviors of self-driving vehicles in the future.

Discrete event systemsAutomataSupervisory controlAutomated driving systems

Jiayuan Liang、Chaohui Gong、Yunfeng Hou、Miao Yu、Weilin Wang

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School of Optical-Electrical and Computer Engineering,University for Shanghai Science and Technology,Shanghai 200093,China

Zhejiang Research Center on Smart Rail Transportation,PowerChina Huadong Engineering Corporation Limited,Hangzhou,Zhejiang 311225,China

2021

控制理论与技术(英文版)
华南理工大学

控制理论与技术(英文版)

CSCDEI
影响因子：0.307
ISSN：2095-6983
年,卷(期)：2021.19(2)
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