NDLI: Hybrid fuzzy logic-genetic algorithm technique for automated detection of traffic incidents on freeways

Content Provider	IEEE Xplore Digital Library
Author	Srinivasan, D. Ruey Long Cheu Young Peng Poh
Copyright Year	2001
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore (Srinivasan, D.)
Abstract	Incident detection has become an important and sophisticated task in today's complex engineering environment, and is one of the key functions of modern traffic management systems. The incidents, depending on their severity, affect the traffic pattern on expressways and cause congestion. This paper presents a hybrid AI approach for immediate and automatic detection of traffic incidents on expressways. Specifically, a hybrid combination of fuzzy logic and genetic algorithm (GA) has been applied to automatically detect incidents on a traffic network. The flexible and robust nature of the developed fuzzy controller allows it to model functions of arbitrary complexity while at the same time being inherently highly tolerant of imprecise data. The maximizing capabilities of genetic algorithm, on the other hand, enable the fuzzy design parameters to be optimized to achieve optimal performance. A cascaded framework of 11 fuzzy controllers takes in traffic indices such as occupancy and volume to detect incidents along an expressway in California. The results obtained from this hybrid model demonstrate the superiority of this approach when compared with two commonly used conventional incident detection algorithms.
Starting Page	352
Ending Page	357
File Size	592870
Page Count	6
File Format	PDF
ISBN	0780371941
DOI	10.1109/ITSC.2001.948682
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-08-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy logic Traffic control Communication system traffic control Genetic algorithms Fuzzy control Environmental management Engineering management Telecommunication traffic Artificial intelligence Robust control
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
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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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