Prediction of urban travel times with intersection delays
Although there is an increasing demand for travel time prediction methods, the efforts put on urban streets are until now less than on freeways. In this paper, a macroscopic model of urban link travel time prediction is developed based on measurements collected by single loop detectors. This method...
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creator | Hao Liu van Zuylen, H.J. van Lint, H. Yusen Chen Ke Zhang |
description | Although there is an increasing demand for travel time prediction methods, the efforts put on urban streets are until now less than on freeways. In this paper, a macroscopic model of urban link travel time prediction is developed based on measurements collected by single loop detectors. This method divides travel times into two components: link cruising times and intersection delays. For each component the mean prediction and prediction interval were investigated in order to provide a reliable prediction. Prediction intervals around the mean prediction show the plausible range of travel times a vehicle is likely to encounter. Based on simulation data, it is demonstrated that urban link travel time prediction can be executed by this promising method. |
doi_str_mv | 10.1109/ITSC.2005.1520198 |
format | Conference Proceeding |
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In this paper, a macroscopic model of urban link travel time prediction is developed based on measurements collected by single loop detectors. This method divides travel times into two components: link cruising times and intersection delays. For each component the mean prediction and prediction interval were investigated in order to provide a reliable prediction. Prediction intervals around the mean prediction show the plausible range of travel times a vehicle is likely to encounter. 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In this paper, a macroscopic model of urban link travel time prediction is developed based on measurements collected by single loop detectors. This method divides travel times into two components: link cruising times and intersection delays. For each component the mean prediction and prediction interval were investigated in order to provide a reliable prediction. Prediction intervals around the mean prediction show the plausible range of travel times a vehicle is likely to encounter. Based on simulation data, it is demonstrated that urban link travel time prediction can be executed by this promising method.</description><subject>Communication system traffic control</subject><subject>Delay effects</subject><subject>Detectors</subject><subject>Intelligent transportation systems</subject><subject>Prediction methods</subject><subject>Predictive models</subject><subject>Road transportation</subject><subject>Time measurement</subject><subject>Traffic control</subject><subject>Vehicles</subject><issn>2153-0009</issn><issn>2153-0017</issn><isbn>0780392159</isbn><isbn>9780780392151</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2005</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo9T9tKAzEUDF7AWvsB4kt-YNeTZJNNHmXxUigouO8lyZ5gZLuVJCr9exdafJphZhhmCLllUDMG5n7dv3c1B5A1kxyY0WdkwZkUFQBrz8k1tBqEmRVz8W-AuSKrnD9nNntS8GZBzFvCIfoS9xPdB_qdnJ1oSfYHR1riDjP9jeWDxqlgynjMDTjaQ74hl8GOGVcnXJL-6bHvXqrN6_O6e9hU0UCpNGPaoVfSuRCM5k5xFKBsaISTwZvBMTMT0KJVQQsjGo3KeQ7KN_N8EEtyd6yNiLj9SnFn02F7Oi3-AG_MSKw</recordid><startdate>2005</startdate><enddate>2005</enddate><creator>Hao Liu</creator><creator>van Zuylen, H.J.</creator><creator>van Lint, H.</creator><creator>Yusen Chen</creator><creator>Ke Zhang</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2005</creationdate><title>Prediction of urban travel times with intersection delays</title><author>Hao Liu ; van Zuylen, H.J. ; van Lint, H. ; Yusen Chen ; Ke Zhang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-8118bec65bbff982b62e306af43b5fc9db19b5f08376f839348e6bc206c492103</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Communication system traffic control</topic><topic>Delay effects</topic><topic>Detectors</topic><topic>Intelligent transportation systems</topic><topic>Prediction methods</topic><topic>Predictive models</topic><topic>Road transportation</topic><topic>Time measurement</topic><topic>Traffic control</topic><topic>Vehicles</topic><toplevel>online_resources</toplevel><creatorcontrib>Hao Liu</creatorcontrib><creatorcontrib>van Zuylen, H.J.</creatorcontrib><creatorcontrib>van Lint, H.</creatorcontrib><creatorcontrib>Yusen Chen</creatorcontrib><creatorcontrib>Ke Zhang</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Hao Liu</au><au>van Zuylen, H.J.</au><au>van Lint, H.</au><au>Yusen Chen</au><au>Ke Zhang</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Prediction of urban travel times with intersection delays</atitle><btitle>Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005</btitle><stitle>ITSC</stitle><date>2005</date><risdate>2005</risdate><spage>402</spage><epage>407</epage><pages>402-407</pages><issn>2153-0009</issn><eissn>2153-0017</eissn><isbn>0780392159</isbn><isbn>9780780392151</isbn><abstract>Although there is an increasing demand for travel time prediction methods, the efforts put on urban streets are until now less than on freeways. In this paper, a macroscopic model of urban link travel time prediction is developed based on measurements collected by single loop detectors. This method divides travel times into two components: link cruising times and intersection delays. For each component the mean prediction and prediction interval were investigated in order to provide a reliable prediction. Prediction intervals around the mean prediction show the plausible range of travel times a vehicle is likely to encounter. Based on simulation data, it is demonstrated that urban link travel time prediction can be executed by this promising method.</abstract><pub>IEEE</pub><doi>10.1109/ITSC.2005.1520198</doi><tpages>6</tpages></addata></record> |
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subjects | Communication system traffic control Delay effects Detectors Intelligent transportation systems Prediction methods Predictive models Road transportation Time measurement Traffic control Vehicles |
title | Prediction of urban travel times with intersection delays |
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