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

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

doi:10.1109/itsc.2006.1706764

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

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

Department of Computer science & Information Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Proceedings of ITSC 2006
Subtitle of host publication	2006 IEEE Intelligent Transportation Systems Conference
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	337-342
Number of pages	6
ISBN (Print)	1424400945, 9781424400942
DOIs	https://doi.org/10.1109/itsc.2006.1706764
Publication status	Published - 2006 Jan 1
Event	ITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference - Toronto, ON, Canada Duration: 2006 Sep 17 → 2006 Sep 20

Publication series

Name	IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Other

Other	ITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference
Country	Canada
City	Toronto, ON
Period	06/9/17 → 06/9/20

Keywords

Active driver assistance system
Driving event analysis
Fuzzy reasoning Petri net

ASJC Scopus subject areas

Automotive Engineering
Mechanical Engineering
Computer Science Applications

Access to Document

10.1109/itsc.2006.1706764

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Cite this

Fang, C. Y., Hsueh, H. L., & Chen, S. W. (2006). Dangerous driving event analysis system by a cascaded fuzzy reasoning Petri net. In Proceedings of ITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference (pp. 337-342). [1706764] (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/itsc.2006.1706764

Dangerous driving event analysis system by a cascaded fuzzy reasoning Petri net. / Fang, C. Y.; Hsueh, H. L.; Chen, S. W.

Proceedings of ITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference. Institute of Electrical and Electronics Engineers Inc., 2006. p. 337-342 1706764 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Fang, CY, Hsueh, HL & Chen, SW 2006, Dangerous driving event analysis system by a cascaded fuzzy reasoning Petri net. in Proceedings of ITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference., 1706764, IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, Institute of Electrical and Electronics Engineers Inc., pp. 337-342, ITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference, Toronto, ON, Canada, 06/9/17. https://doi.org/10.1109/itsc.2006.1706764

Fang CY, Hsueh HL, Chen SW. Dangerous driving event analysis system by a cascaded fuzzy reasoning Petri net. In Proceedings of ITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference. Institute of Electrical and Electronics Engineers Inc. 2006. p. 337-342. 1706764. (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC). https://doi.org/10.1109/itsc.2006.1706764

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