{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,5,30]],"date-time":"2023-05-30T04:10:54Z","timestamp":1685419854665},"reference-count":0,"publisher":"National Library of Serbia","issue":"2","license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["ComSIS","COMPUT SCI INF SYST","COMPUT SCI INFORM SY","COMPUTER SCI INFORM","COMSIS J"],"published-print":{"date-parts":[[2015]]},"abstract":"<jats:p>Traditional lane-changing (LC) behavioral researches usually focus on the\n   driver?s cognitive performance which includes the driver?s psychological and\n   behavioral habit characteristics, rarely involving the affection of expert\n   driver?s comprehensive behavioral preferences, such as: safety and comfort\n   performance in LC process. Towards the free LC process, a novel LC safety and\n   comfort degree index is proposed in this paper, as well as, the novel\n   definition of LC driving behavioral preferences is described in detail.\n   Taking advantage of interactive evolutionary computing (IEC) and real-time\n   optimization (RTO) metrics, a kind of LC behavioral preferences on-line\n   learning agent extending traditional Belief-Desire-Intention (BDI) structure\n   is explicitly proposed, which can perform behavioral preferences learning\n   activities in the LC process. In addition, driving behavioral preferences\n   learning strategies are introduced which can gradually grasp essentials in\n   driver?s subjective judgments in decision-making of the LC process and make\n   the LC process more safety and scientific. Specifically, a conceptual model\n   of the agent, driving behavioral preferences learning-BDI (DpL-BDI) agent is\n   introduced, along with corresponding functional modules to grasp driving\n   behavioral preferences. Furthermore, colored Petri nets are used to realize\n   the components and scheduler of the DpL-BDI agents. In the end, to compare\n   with the traditional LC parameters? learning methods (such as: the least\n   squares methods and Genetic Algorithms), a kind of LC problems is suggested\n   to case studies, testing and verifying the validity of the contribution.<\/jats:p>","DOI":"10.2298\/csis141229016j","type":"journal-article","created":{"date-parts":[[2015,5,19]],"date-time":"2015-05-19T10:14:39Z","timestamp":1432030479000},"page":"349-374","source":"Crossref","is-referenced-by-count":0,"title":["A lane-changing behavioral preferences learning agent with its applications"],"prefix":"10.2298","volume":"12","author":[{"given":"Wang","family":"Jian","sequence":"first","affiliation":[{"name":"Beijing Jiaotong University, School of Electronical and Information Engineering, Beijing, China + Beijing Engineering Research Center of EMC and GNSS Technology for Rail Transportation, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cai","family":"Baigen","sequence":"additional","affiliation":[{"name":"Beijing Jiaotong University, School of Electronical and Information Engineering, Beijing, China + Beijing Jiaotong University, State Key Laboratory of Rail Traffic Control and Safety, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liu","family":"Jiang","sequence":"additional","affiliation":[{"name":"Beijing Jiaotong University, School of Electronical and Information Engineering, Beijing, China + Beijing Jiaotong University, State Key Laboratory of Rail Traffic Control and Safety, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shangguan","family":"Wei","sequence":"additional","affiliation":[{"name":"Beijing Jiaotong University, School of Electronical and Information Engineering, Beijing, China + Beijing Engineering Research Center of EMC and GNSS Technology for Rail Transportation, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1078","container-title":["Computer Science and Information Systems"],"original-title":[],"language":"en","deposited":{"date-parts":[[2023,5,29]],"date-time":"2023-05-29T08:32:24Z","timestamp":1685349144000},"score":1,"resource":{"primary":{"URL":"https:\/\/doiserbia.nb.rs\/Article.aspx?ID=1820-02141500016J"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"references-count":0,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2015]]}},"URL":"https:\/\/doi.org\/10.2298\/csis141229016j","relation":{},"ISSN":["1820-0214","2406-1018"],"issn-type":[{"value":"1820-0214","type":"print"},{"value":"2406-1018","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015]]}}}