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| Application of networked discrete event system theory on intelligent transportation systems |
| JiayuanLiang,ChaohuiGong,YunfengHou,MiaoYu,WeilinWang |
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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) |
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| DOI：https://doi.org/10.1007/s11768-020-00002-2 |
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| Application of networked discrete event system theory on intelligent transportation systems |
| Jiayuan Liang,Chaohui Gong,Yunfeng Hou,Miao Yu,Weilin Wang |
| (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) |
| Abstract: |
| 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. |
| Key words: Discrete event systems · Automata · Supervisory control · Automated driving systems |
