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Analysing the Impact of Traffic Incidents on the Travel Time Reliability of Freeway High-Occupancy Vehicle Lanes
This study aims to examine the impact of traffic incidents occurring on general purpose lanes (GPLs) on the travel time reliability of high-occupancy vehicle (HOV) lanes on freeways and to evaluate the differences of travel time reliability on GPLs and HOV lanes under the same incident conditions. I...
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Published in: | Discrete dynamics in nature and society 2018-01, Vol.2018 (2018), p.1-12 |
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description | This study aims to examine the impact of traffic incidents occurring on general purpose lanes (GPLs) on the travel time reliability of high-occupancy vehicle (HOV) lanes on freeways and to evaluate the differences of travel time reliability on GPLs and HOV lanes under the same incident conditions. In this paper, an empirical travel time reliability analysis is conducted using the travel time and incident data collected between 2009 and 2012 on Interstate 5 and Interstate 405 of the Seattle metropolitan area. Three incident types (i.e., shoulder incident, single lane incident, and multiple lane incident) are considered. Two measures, percentile-based indicator and inflow–percentile travel time function, are used. The results suggest that incidents result in lower values of travel time reliability for all the measures. The results also show that multiple lane incident type has the most significant impact on the freeway route travel time reliability, while shoulder incident type has the least impact. Generally, HOV lanes have higher travel time reliability than GPLs under the same incident types. The findings in this study provide useful decision support for transportation agencies to improve travel time reliability on freeways. |
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In this paper, an empirical travel time reliability analysis is conducted using the travel time and incident data collected between 2009 and 2012 on Interstate 5 and Interstate 405 of the Seattle metropolitan area. Three incident types (i.e., shoulder incident, single lane incident, and multiple lane incident) are considered. Two measures, percentile-based indicator and inflow–percentile travel time function, are used. The results suggest that incidents result in lower values of travel time reliability for all the measures. The results also show that multiple lane incident type has the most significant impact on the freeway route travel time reliability, while shoulder incident type has the least impact. Generally, HOV lanes have higher travel time reliability than GPLs under the same incident types. The findings in this study provide useful decision support for transportation agencies to improve travel time reliability on freeways.</description><identifier>ISSN: 1026-0226</identifier><identifier>EISSN: 1607-887X</identifier><identifier>DOI: 10.1155/2018/7470645</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Publishing Corporation</publisher><subject>Empirical analysis ; Freeways ; High occupancy vehicle lanes ; Highways ; Impact analysis ; Impact strength ; Inflow ; Metropolitan areas ; Paths ; Reliability analysis ; Reliability aspects ; Researchers ; Statistical mechanics ; Studies ; Time functions ; Traffic congestion ; Traffic control ; Traffic flow ; Transportation services ; Travel time</subject><ispartof>Discrete dynamics in nature and society, 2018-01, Vol.2018 (2018), p.1-12</ispartof><rights>Copyright © 2018 Xianzhe Chen et al.</rights><rights>COPYRIGHT 2018 John Wiley & Sons, Inc.</rights><rights>Copyright © 2018 Xianzhe Chen et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 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The findings in this study provide useful decision support for transportation agencies to improve travel time reliability on freeways.</description><subject>Empirical analysis</subject><subject>Freeways</subject><subject>High occupancy vehicle lanes</subject><subject>Highways</subject><subject>Impact analysis</subject><subject>Impact strength</subject><subject>Inflow</subject><subject>Metropolitan areas</subject><subject>Paths</subject><subject>Reliability analysis</subject><subject>Reliability aspects</subject><subject>Researchers</subject><subject>Statistical mechanics</subject><subject>Studies</subject><subject>Time functions</subject><subject>Traffic congestion</subject><subject>Traffic control</subject><subject>Traffic flow</subject><subject>Transportation services</subject><subject>Travel time</subject><issn>1026-0226</issn><issn>1607-887X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqFkc1rGzEQxZfSQtO0t56LoMdmE0mrz6MJTWIwBIopvYmxPmyZtdaV1gn731fOhvZYdBgx83uPYV7TfCb4mhDObygm6kYyiQXjb5oLIrBslZK_3tY_pqLFlIr3zYdS9hhTrDS9aI6LBP1UYtqicefR8nAEO6IhoHWGEKJFy2Sj82ksaEgvSB08-R6t48GjH76PsIl9HKez5i57_wwTeojbXfto7ekIyU7op99F23u0guTLx-ZdgL74T6_1slnffV_fPrSrx_vl7WLVWkbp2MoAmnOsOsWdZU5yQjl1zFIMGggjmCu1YZxoDiAdUyEQISx1QAPVnegum-Vs6wbYm2OOB8iTGSCal8aQtwbyeF7LBGdBQOc8FYoFBxvniRdUcSID1lhXr6-z1zEPv0--jGY_nHK9WzG0AoJqwWWlrmdqC9U0pjCMGWx9zh-iHZIPsfYXXHOJmWRdFVzNApuHUrIPf9ck2JzzNOc8zWueFf8247uYHDzH_9FfZtpXxgf4RxNOpdTdHxfyp_E</recordid><startdate>20180101</startdate><enddate>20180101</enddate><creator>Wu, Lingtao</creator><creator>Peng, Yichuan</creator><creator>Tang, Jinjun</creator><creator>Zou, Yajie</creator><creator>Chen, Xianzhe</creator><creator>Jiang, Yuming</creator><general>Hindawi Publishing Corporation</general><general>Hindawi</general><general>John Wiley & Sons, Inc</general><general>Hindawi Limited</general><scope>ADJCN</scope><scope>AHFXO</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7TB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>CWDGH</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-5172-387X</orcidid><orcidid>https://orcid.org/0000-0003-4766-5811</orcidid><orcidid>https://orcid.org/0000-0002-3505-168X</orcidid><orcidid>https://orcid.org/0000-0002-6234-8083</orcidid></search><sort><creationdate>20180101</creationdate><title>Analysing the Impact of Traffic Incidents on the Travel Time Reliability of Freeway High-Occupancy Vehicle Lanes</title><author>Wu, Lingtao ; 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In this paper, an empirical travel time reliability analysis is conducted using the travel time and incident data collected between 2009 and 2012 on Interstate 5 and Interstate 405 of the Seattle metropolitan area. Three incident types (i.e., shoulder incident, single lane incident, and multiple lane incident) are considered. Two measures, percentile-based indicator and inflow–percentile travel time function, are used. The results suggest that incidents result in lower values of travel time reliability for all the measures. The results also show that multiple lane incident type has the most significant impact on the freeway route travel time reliability, while shoulder incident type has the least impact. Generally, HOV lanes have higher travel time reliability than GPLs under the same incident types. 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subjects | Empirical analysis Freeways High occupancy vehicle lanes Highways Impact analysis Impact strength Inflow Metropolitan areas Paths Reliability analysis Reliability aspects Researchers Statistical mechanics Studies Time functions Traffic congestion Traffic control Traffic flow Transportation services Travel time |
title | Analysing the Impact of Traffic Incidents on the Travel Time Reliability of Freeway High-Occupancy Vehicle Lanes |
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