Article(id=1242117113981243956, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242117113696031283, articleNumber=null, orderNo=null, doi=null, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1241971200000, receivedDateStr=2009-05-11, revisedDate=-2209017600000, revisedDateStr=1900-01-01, acceptedDate=null, acceptedDateStr=null, onlineDate=1252771200000, onlineDateStr=2009-09-13, pubDate=1252771200000, pubDateStr=2009-09-13, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1252771200000, onlineIssueDateStr=2009-09-13, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774073397388, creator=sys-migrate, updateTime=1774073397388, updator=sys-migrate, issue=Issue{id=1242117113696031283, tenantId=1146029695717560320, journalId=1146031591421210625, year='2009', volume='27', issue='0917', pageStart='3', pageEnd='140', issueExtLink='null', onlineDate='null', pubDate='1252771200000', pubDateStr='2009-09-13', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774073397321, creator='sys-migrate', updateTime=1774073397321, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=69, endPage=72, ext={EN=ArticleExt(id=1242117117814837831, articleId=1242117113981243956, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=An Optimization Model for Dynamic Intelligent Dispatching of Buses, columnId=1242116080374710456, journalTitle=Science & Technology Review, columnName=Articles, runingTitle=null, highlight=null, articleAbstract=An intelligent bus dispatching system can better meet people's travel needs. The optimized algorithm takes advantage of advanced technology and equipments. However, in recent years the development of Chinese intelligent bus dispatching systems is not satisfactory with an. excessive attention to advanced technology but less to practicality. Dynamic scheduling has yet to be fully exploited. In this paper, intelligent transportation scheduling systems and scheduling characteristics are analyzed. The information about dynamic transportation and vehicle locations is acquired and merged. An optimization model for intelligent dispatching of buses is proposed on basis of real data. This model is under the support of GPS positioning, communications, computers and other technologies, where intelligent algorithms are used in bus operation and dispatching and both passengers satisfaction and company profit are considered. The method of collecting data automatically and the algorithm of this model are presented. This model is shown to be able to significantly improve the rate of bus full loading, shorten the waiting time of passengers, and reduce the total vehicle trips, with an evident effect of optimized dispatching., authors=null, authorsList=null, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=b3/f6pO6zC/wFQ/mxuqAzg==, pdfFileSize=741000, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242117115466023154, articleId=1242117113981243956, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=智能公交动态调度优化模型, columnId=1146540929516700224, journalTitle=科技导报, columnName=研究论文, runingTitle=null, highlight=null, articleAbstract=利用先进的技术和设备实现公交的优化调度，充分满足人们的出行需要，是智能公交系统发展的目标。然而近年来中国智能公交发展在一定程度上出现过于追求先进性、忽略实用性、运营效果不理想、动态调度尚待充分开发等问题。结合中国智能公交系统现状，通过对智能公交调度系统和调度特点深入分析，在GPS定位、通信、计算机等技术的支持下，将动态交通状态信息与车辆定位信息有效融合，将智能化算法引入到公交运营调度中，建立了基于实时动态数据，兼顾乘客满意度和企业效益的动态调度优化模型。并且阐述了模型数据的自动采集方法、模型Matlab程式化的解法。结果表明，该模型可以显著提高公交车辆满载率、缩短乘客等车时间和减少车辆总班次，优化调度效果明显。, authors=李志强,周建立,张毅, authorsList=李志强;周建立;张毅, authorCompany=河南科技大学车辆和动力工程学院, correspAuthors=null, authorNote=null, correspAuthorsNote=李志强, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=jfxJYcvm22m8fRbBUtz87g==, pdfFileSize=741000, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null)}, authors=null, keywords=[Keyword(id=1242117114971095277, tenantId=1146029695717560320, journalId=1146031591421210625, 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