{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:47:17Z","timestamp":1777704437678,"version":"3.51.4"},"reference-count":22,"publisher":"SAGE Publications","issue":"5","license":[{"start":{"date-parts":[[2020,2,24]],"date-time":"2020-02-24T00:00:00Z","timestamp":1582502400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2020,5,29]]},"abstract":"<jats:p>With the increasingly close links between provinces and municipalities, the complexity and social connectivity of emergencies have gradually increased. How to realize the rapid and scientific dispatch of emergency resources based on the comprehensive transportation network has become a realistic need. However, due to barriers in management and communication between different administrative regions and different modes of transportation, emergency resource scheduling can only be carried out in the region, and the utilization of integrated traffic channels is insufficient to form a good multimodal transport system. The multi-agent system has strong self-organization ability, learning ability and reasoning ability, which solves problems in the fields of dynamic decision-making and micro-simulation and provides ideas for solving the problem of comprehensive traffic emergency dispatching across regions. In this paper, the multi-agent system is introduced into the research of the task assignment problem of trans-regional comprehensive traffic emergency materials dispatching, based on the traditional bidding rules, the emergency dispatch task assignment rules are proposed and multi-agent trans-regional comprehensive traffic emergency dispatching model based on improved bidding rules is established. The simulation results show that the proposed method can break the regional barrier and form a multimodal transport scheme for emergency materials from the reserve point to the demand point under the minimum generalized time cost, providing decision support for emergency dispatch.<\/jats:p>","DOI":"10.3233\/jifs-179664","type":"journal-article","created":{"date-parts":[[2020,2,25]],"date-time":"2020-02-25T11:21:44Z","timestamp":1582629704000},"page":"5763-5774","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":5,"title":["Research on trans-region integrated traffic emergency dispatching technology based on multi-agent"],"prefix":"10.1177","volume":"38","author":[{"given":"Tingyu","family":"Yang","sequence":"first","affiliation":[{"name":"School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoqian","family":"Peng","sequence":"additional","affiliation":[{"name":"School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dingjun","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China"},{"name":"National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Southwest JiaoTong University, Chengdu, China"},{"name":"National and Local Joint Engineering Laboratory of Comprehensive Intelligent Transportation, Southwest Jiaotong University, Chengdu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Feiyu","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Malik","family":"Muneeb Abid","sequence":"additional","affiliation":[{"name":"Department of Civil Engineering College of Engineering and Technology, University of Sargodha, Sargodha, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2020,2,24]]},"reference":[{"key":"e_1_3_2_2_2","unstructured":"WenhuaZhao and YueYan Emergency rescue Beijing National Defense University Press (2015) 213\u2013217."},{"key":"e_1_3_2_3_2","unstructured":"WangyangHu A guide to emergency response plans for public emergencies Beijing Higher Education Press (2007) 9."},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1007\/s12469-017-0157-z"},{"key":"e_1_3_2_5_2","unstructured":"XiCheng Research on the location and scheduling methods of multi-resource and multi-supplier emergency problem Xian University of Electronic Technology 2014."},{"key":"e_1_3_2_6_2","unstructured":"XueyingGao Research on the optimization methods of large-scale emergency rescue resources layout and scheduling Jilin University 2012."},{"key":"e_1_3_2_7_2","unstructured":"BodaghiBehrooz and PalaneeswaranEkambaram An optimization model for scheduling emergency operations with multiple teams Proceedings of the 2016 International Conference on Industrial Engineering and Operations Management."},{"key":"e_1_3_2_8_2","doi-asserted-by":"crossref","unstructured":"QingChang Vehicle schedulingmodel of emergency logistics distribution based on internet of things International Journal of Applied Decision Sciences 2018.","DOI":"10.1504\/IJADS.2018.10008051"},{"key":"e_1_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.seps.2011.10.002"},{"key":"e_1_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0377-2217(01)00222-3"},{"key":"e_1_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.tre.2006.10.013"},{"key":"e_1_3_2_12_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-014-0540-2"},{"key":"e_1_3_2_13_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10458-009-9086-9"},{"key":"e_1_3_2_14_2","unstructured":"YumingLin Highway emergency management and assistant decision making Beijing: Intellectual Property Publishing House (2014) 34."},{"key":"e_1_3_2_15_2","doi-asserted-by":"crossref","unstructured":"TorabiBehnam WenksternRym Z. and SaylorRobert A self-adaptive collaborative multi-agent based raffiTc signal timing system 2018 IEEE International Smart Cities Conference (ISC2).","DOI":"10.1109\/ISC2.2018.8656659"},{"issue":"03","key":"e_1_3_2_16_2","first-page":"91","article-title":"Maritime search task allocation with multi-agent concept","volume":"41","author":"Yan LI","year":"2018","unstructured":"YanLI, ShengweiXING and YingjunZHANG, Maritime search task allocation with multi-agent concept, Navigation of China41(03) (2018), 91\u201394+100.","journal-title":"Navigation of China"},{"issue":"04","key":"e_1_3_2_17_2","first-page":"6","article-title":"Multi-agent simulation modeling for railway loading\/unloading line of container terminal","volume":"55","author":"Da Li","year":"2018","unstructured":"DaLi, GuoleiTang, Xiangqun1Song, JingjingYu, Yue2Qi, XuhuiYu, Xiaoyi1Zhao and YonghaoZhang, Multi-agent simulation modeling for railway loading\/unloading line of container terminal, Port Engineering Technology55(04) (2018), 6\u20139.","journal-title":"Port Engineering Technology"},{"key":"e_1_3_2_18_2","doi-asserted-by":"publisher","DOI":"10.1177\/0954409715624724"},{"key":"e_1_3_2_19_2","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-018-1029-3"},{"key":"e_1_3_2_20_2","doi-asserted-by":"publisher","unstructured":"Ming-Tai WuJimmy Chun-Wei LinJerry and TamrakarAshish High-utility itemset mining with effective pruning strategies ACMTransactions on Knowledge Discovery from Data 2019 https:\/\/doi.org\/10.1145\/3363571","DOI":"10.1145\/3363571"},{"key":"e_1_3_2_21_2","doi-asserted-by":"publisher","DOI":"10.3233\/JIFS-18482"},{"key":"e_1_3_2_22_2","doi-asserted-by":"publisher","DOI":"10.3233\/IFS-162093"},{"key":"e_1_3_2_23_2","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2909120"}],"container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JIFS-179664","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.3233\/JIFS-179664","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JIFS-179664","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:41:13Z","timestamp":1777455673000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/JIFS-179664"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,2,24]]},"references-count":22,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2020,5,29]]}},"alternative-id":["10.3233\/JIFS-179664"],"URL":"https:\/\/doi.org\/10.3233\/jifs-179664","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,2,24]]}}}