Application of networked discrete event system theory on intelligent transportation systems

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 ca...

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Bibliographic Details
Published in:Control theory and technology 2021-05, Vol.19 (2), p.236-248
Main Authors: Liang, Jiayuan, Gong, Chaohui, Hou, Yunfeng, Yu, Miao, Wang, Weilin
Format: Article
Language:English
Subjects:
Accidents
Autonomous cars
Complexity
Computational Intelligence
Control
Control and Systems Theory
Discrete event systems
Engineering
Intelligent transportation systems
Mechatronics
Optimization
Research Article
Robotics
System theory
Systems Theory
Vehicles
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Summary: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 provable 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.
ISSN:2095-6983
2198-0942
DOI:10.1007/s11768-020-00002-2