Traffic condition estimation with pre-selection space time model

A pre-selection space time model was proposed to estimate the traffic condition at poor-data-detector, especially non-detector locations. The space time model is better to integrate the spatial and temporal information comprehensibly. Firstly, the influencing factors of the ＂cause nodes＂ were studie...

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Veröffentlicht in:	Journal of Central South University 2012, Vol.19 (1), p.206-212
1. Verfasser:	董宏辉孙晓亮贾利民李海舰秦勇
Format:	Artikel
Sprache:	eng
Schlagworte:	Engineering Metallic Materials Pearson相关系数交通条件交通状况影响因素数据检测时空模型模型估计预选
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container_title	Journal of Central South University
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creator	董宏辉孙晓亮贾利民李海舰秦勇
description	A pre-selection space time model was proposed to estimate the traffic condition at poor-data-detector, especially non-detector locations. The space time model is better to integrate the spatial and temporal information comprehensibly. Firstly, the influencing factors of the ＂cause nodes＂ were studied, and then the pre-selection ＂cause nodes＂ procedure which utilizes the Pearson correlation coefficient to evaluate the relevancy of the traffic data was introduced. Finally, only the most relevant data were collected to compose the space time model. The experimental results with the actual data demonstrate that the model performs better than other three models.
doi_str_mv	10.1007/s11771-012-0993-6
format	Article
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The space time model is better to integrate the spatial and temporal information comprehensibly. Firstly, the influencing factors of the ＂cause nodes＂ were studied, and then the pre-selection ＂cause nodes＂ procedure which utilizes the Pearson correlation coefficient to evaluate the relevancy of the traffic data was introduced. Finally, only the most relevant data were collected to compose the space time model. 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The experimental results with the actual data demonstrate that the model performs better than other three models.</description><subject>Engineering</subject><subject>Metallic Materials</subject><subject>Pearson相关系数</subject><subject>交通条件</subject><subject>交通状况</subject><subject>影响因素</subject><subject>数据检测</subject><subject>时空模型</subject><subject>模型估计</subject><subject>预选</subject><issn>1005-9784</issn><issn>2095-2899</issn><issn>2227-5223</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNp9kE1LAzEQhoMoWGp_gLf1LNHJ7Ec2N6X4BQUv9Ryy2dntSputSaWtv97ULXrzlCE8z7zMy9ilgBsBIG-DEFIKDgI5KJXy4oSNEFHyHDE9ZaMI5VzJMjtnkxC6CkRZopJ5OWJ3c2-aprOJ7V3dbbreJRQ23cr8jNtus0jWnnigJdmfr7A2lpJIULLqa1pesLPGLANNju-YvT0-zKfPfPb69DK9n3Gb5rDhWZHKWkFDUEs0JTayQgUlySotCqoFAmaolAEkkIJsjZUVlRQZACAKSMfseti7Na4xrtXv_ad3MVF_uXZf73aVJowNQGQPtBho6_sQPDV67eNRfq8F6ENneuhMR0MfOtNFdHBwQmRdS_4v4j_p6hi06F37Eb3fpAwk5kph-g2oLHju</recordid><startdate>2012</startdate><enddate>2012</enddate><creator>董宏辉孙晓亮贾利民李海舰秦勇</creator><general>Central South University</general><general>State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China</general><scope>2RA</scope><scope>92L</scope><scope>CQIGP</scope><scope>W92</scope><scope>~WA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>2B.</scope><scope>4A8</scope><scope>92I</scope><scope>93N</scope><scope>PSX</scope><scope>TCJ</scope></search><sort><creationdate>2012</creationdate><title>Traffic condition estimation with pre-selection space time model</title><author>董宏辉孙晓亮贾利民李海舰秦勇</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c350t-4637d90fe0d72a82f7b2908e7b366ed12024299a02e071ecd2bc1b71400022103</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Engineering</topic><topic>Metallic Materials</topic><topic>Pearson相关系数</topic><topic>交通条件</topic><topic>交通状况</topic><topic>影响因素</topic><topic>数据检测</topic><topic>时空模型</topic><topic>模型估计</topic><topic>预选</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>董宏辉孙晓亮贾利民李海舰秦勇</creatorcontrib><collection>中文科技期刊数据库</collection><collection>中文科技期刊数据库-CALIS站点</collection><collection>中文科技期刊数据库-7.0平台</collection><collection>中文科技期刊数据库-工程技术</collection><collection>中文科技期刊数据库- 镜像站点</collection><collection>CrossRef</collection><collection>Wanfang Data Journals - Hong Kong</collection><collection>WANFANG Data Centre</collection><collection>Wanfang Data Journals</collection><collection>万方数据期刊 - 香港版</collection><collection>China Online Journals (COJ)</collection><collection>China Online Journals (COJ)</collection><jtitle>Journal of Central South University</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>董宏辉孙晓亮贾利民李海舰秦勇</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Traffic condition estimation with pre-selection space time model</atitle><jtitle>Journal of Central South University</jtitle><stitle>J. 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subjects	Engineering Metallic Materials Pearson相关系数交通条件交通状况影响因素数据检测时空模型模型估计预选
title	Traffic condition estimation with pre-selection space time model
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