Dangerous driving event analysis system by a cascaded fuzzy reasoning Petri net

C. Y. Fang, H. L. Hsueh, S. W. Chen

研究成果: 書貢獻/報告類型會議論文篇章

5 引文 斯高帕斯(Scopus)

摘要

This study applies a modified cascaded fuzzy reasoning Petri net (CFRPN) model to analyze dangerous driving events on a freeway. The dangerous driving events can be divided into two groups: (1) the interaction between a driver's vehicle and the road environment, and (2) the interaction between a driver's vehicle and nearby vehicles. These two classes of driving events may occur simultaneously and lead to certain serious traffic situations. The proposed system analyzes these two kinds of events determines dangerous situations from data collected by various sensors. Since collecting real driving event data on freeway is dangerous and time consuming, a data generation system is developed to generate the experimental data. Such data can help evaluate the performance of the proposed analysis system. Finally, experimental results show that the proposed system is accurate and robust.

原文英語
主出版物標題Proceedings of ITSC 2006
主出版物子標題2006 IEEE Intelligent Transportation Systems Conference
發行者Institute of Electrical and Electronics Engineers Inc.
頁面337-342
頁數6
ISBN(列印)1424400945, 9781424400942
DOIs
出版狀態已發佈 - 2006 一月 1
事件ITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference - Toronto, ON, 加拿大
持續時間: 2006 九月 172006 九月 20

出版系列

名字IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

其他

其他ITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference
國家/地區加拿大
城市Toronto, ON
期間2006/09/172006/09/20

ASJC Scopus subject areas

  • 汽車工程
  • 機械工業
  • 電腦科學應用

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