A support vector machine with the tabu search algorithm for freeway incident detection
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 a...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Sciendo
2014-06-01
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| Series: | International Journal of Applied Mathematics and Computer Science |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/amcs-2014-0030 |
| _version_ | 1819242255597174784 |
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| author | Yao Baozhen Hu Ping Zhang Mingheng Jin Maoqing |
| author_facet | Yao Baozhen Hu Ping Zhang Mingheng Jin Maoqing |
| author_sort | Yao Baozhen |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-23T14:36:54Z |
| format | Article |
| id | doaj.art-f8d80ce82eb94899bb7f9f27d5b00ccc |
| institution | Directory Open Access Journal |
| issn | 2083-8492 |
| language | English |
| last_indexed | 2024-12-23T14:36:54Z |
| publishDate | 2014-06-01 |
| publisher | Sciendo |
| record_format | Article |
| series | International Journal of Applied Mathematics and Computer Science |
| spelling | doaj.art-f8d80ce82eb94899bb7f9f27d5b00ccc2022-12-21T17:43:21ZengSciendoInternational Journal of Applied Mathematics and Computer Science2083-84922014-06-0124239740410.2478/amcs-2014-0030amcs-2014-0030A support vector machine with the tabu search algorithm for freeway incident detectionYao Baozhen0Hu Ping1Zhang Mingheng2Jin Maoqing3School of Automotive Engineering Dalian University of Technology, Dalian 116024, PR ChinaSchool of Automotive Engineering Dalian University of Technology, Dalian 116024, PR ChinaSchool of Automotive Engineering Dalian University of Technology, Dalian 116024, PR ChinaHigh Technology Research and Development Center Ministry of Science and Technology, Beijing, PR ChinaAutomated 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.https://doi.org/10.2478/amcs-2014-0030automated incident detectionsupport vector machinetabu searchfreeway |
| spellingShingle | Yao Baozhen Hu Ping Zhang Mingheng Jin Maoqing A support vector machine with the tabu search algorithm for freeway incident detection International Journal of Applied Mathematics and Computer Science automated incident detection support vector machine tabu search freeway |
| title | A support vector machine with the tabu search algorithm for freeway incident detection |
| title_full | A support vector machine with the tabu search algorithm for freeway incident detection |
| title_fullStr | A support vector machine with the tabu search algorithm for freeway incident detection |
| title_full_unstemmed | A support vector machine with the tabu search algorithm for freeway incident detection |
| title_short | A support vector machine with the tabu search algorithm for freeway incident detection |
| title_sort | support vector machine with the tabu search algorithm for freeway incident detection |
| topic | automated incident detection support vector machine tabu search freeway |
| url | https://doi.org/10.2478/amcs-2014-0030 |
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