NDLI: A study on incident detection model applying APID model, fuzzy logic and traffic pattern

Content Provider	IEEE Xplore Digital Library
Author	Nam-Kwan Hong Jin-Woo Choi Young-Kyu Yang
Copyright Year	2007
Description	Author affiliation: Kyungwon Univ., Seongnam (Nam-Kwan Hong; Jin-Woo Choi; Young-Kyu Yang)
Abstract	The study has designed an incident detection model by utilizing fuzzified APID Model along with traffic pattern, for realizing incident detection that is more efficient and suitable for road environment with lamps. Traffic data used by the model are traffic volume, occupancy and speed collected for 3 months in 5 minute interval by the loop detector installed at the Seoul Ring Road. The APID Model uses upper and lower threshold data detected by the loop detector. However, these data do not reflect road environment selected by the study. Therefore, the study has fuzzified variables to suit single site loop detector configuration, adopted MIN-MAX centroid method for inference method and adopted center of gravity method for defuzzification method. Also, the study has designed an incident pattern by considering compressional wave test, confirmation of road incident dissolution, day of the week and varying traffic occupancy shown by different links. In addition, incident rate and differences in incident pattern values of finally modified APID Model had been used to derive the incident rate threshold value for judging occurrence of an incident. The result of detection rate and false alarm rate test, conducted to comparatively analyze conventional APID Model, fuzzified APID Model and proposed integration model, has shown improved performance by the model suggested by the study.
Starting Page	196
Ending Page	203
File Size	6871481
Page Count	8
File Format	PDF
ISBN	9781424413959
DOI	10.1109/ITSC.2007.4357788
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-09-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy logic Traffic control Intelligent transportation systems Detectors Detection algorithms Road transportation Testing USA Councils Lamps Road vehicles
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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