{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T17:57:25Z","timestamp":1770746245397,"version":"3.49.0"},"reference-count":0,"publisher":"University of Zielona G\u00f3ra, Poland","issue":"2","license":[{"start":{"date-parts":[[2014,6,26]],"date-time":"2014-06-26T00:00:00Z","timestamp":1403740800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Automated Incident Detection (AID) is an important part of Advanced Traf\ufb01c 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 in\ufb02uence 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 Arti\ufb01cial Neural Networks (ANNs) in freeway incident detection.<\/jats:p>","DOI":"10.2478\/amcs-2014-0030","type":"journal-article","created":{"date-parts":[[2014,6,30]],"date-time":"2014-06-30T20:22:53Z","timestamp":1404159773000},"page":"397-404","source":"Crossref","is-referenced-by-count":57,"title":["A support vector machine with the tabu search algorithm for freeway incident detection"],"prefix":"10.61822","volume":"24","author":[{"given":"Baozhen","family":"Yao","sequence":"first","affiliation":[{"name":"School of Automotive Engineering Dalian University of Technology, Dalian 116024, PR China"}]},{"given":"Ping","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Automotive Engineering Dalian University of Technology, Dalian 116024, PR China"}]},{"given":"Mingheng","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Automotive Engineering Dalian University of Technology, Dalian 116024, PR China"}]},{"given":"Maoqing","family":"Jin","sequence":"additional","affiliation":[{"name":"High Technology Research and Development Center Ministry of Science and Technology, Beijing, PR China"}]}],"member":"37438","published-online":{"date-parts":[[2014,6,26]]},"container-title":["International Journal of Applied Mathematics and Computer Science"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/content.sciendo.com\/view\/journals\/amcs\/24\/2\/article-p397.xml","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.sciendo.com\/pdf\/10.2478\/amcs-2014-0030","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,29]],"date-time":"2024-02-29T10:28:37Z","timestamp":1709202517000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.sciendo.com\/article\/10.2478\/amcs-2014-0030"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,6,26]]},"references-count":0,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2014,6,26]]}},"alternative-id":["10.2478\/amcs-2014-0030"],"URL":"https:\/\/doi.org\/10.2478\/amcs-2014-0030","relation":{},"ISSN":["2083-8492"],"issn-type":[{"value":"2083-8492","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,6,26]]}}}