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Indexed by:期刊论文

Date of Publication:2014-06-01

Journal:INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS AND COMPUTER SCIENCE

Included Journals:EI、ESI高被引论文、SCIE

Volume:24

Issue:2

Page Number:397-404

ISSN No.:1641-876X

Key Words:automated incident detection; support vector machine; tabu search; freeway

Abstract:Automated Incident Detection (AID) is an important part of Advanced Traffic Management and Information Systems (ATMISs). An automated incident detection system can effectively provide information on an incident, which can help initiate the required measure to reduce the influence of the incident. To accurately detect incidents in expressways, a Support Vector Machine (SVM) is used in this paper. Since the selection of optimal parameters for the SVM can improve prediction accuracy, the tabu search algorithm is employed to optimize the SVM parameters. The proposed model is evaluated with data for two freeways in China. The results show that the tabu search algorithm can effectively provide better parameter values for the SVM, and SVM models outperform Artificial Neural Networks (ANNs) in freeway incident detection.