Urban road network travel time distribution estimation method based on data fusion

Urban road network travel time distribution estimation method based on data fusion

The invention provides an urban road network travel time distribution estimation method based on data fusion, and the method comprises the steps: firstly obtaining a path rsk based on the track data of a network-connected vehicle uploaded by a floating vehicle, then calculating the travel time distr...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: LI BIAO, WU XIAODONG, TANG KESHUANG, QIU HONGTONG, FENG CHUNFANG, DONG KAIFAN, TANG RUOTIAN, LU JIAN, WANG MING
Format: Patent
Sprache:chi ; eng
Schlagworte:
PHYSICS
SIGNALLING
TRAFFIC CONTROL SYSTEMS
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator LI BIAO
WU XIAODONG
TANG KESHUANG
QIU HONGTONG
FENG CHUNFANG
DONG KAIFAN
TANG RUOTIAN
LU JIAN
WANG MING
description The invention provides an urban road network travel time distribution estimation method based on data fusion, and the method comprises the steps: firstly obtaining a path rsk based on the track data of a network-connected vehicle uploaded by a floating vehicle, then calculating the travel time distribution probability density of any path, and then calibrating the time for AVI data collected by an electronic police bayonet device. According to the method, travel time information of AVI local observation and global distribution information provided by the networked vehicles are combined, the problems that in an existing method, it is difficult to deal with deviation of networked vehicle samples and the coverage rate in a vehicle automatic identification equipment road network is low are solved, it is ensured that urban road network travel time distribution estimation is not limited by the arrangement density factor of detectors in the road network, and the estimation accuracy of urban road network travel time d
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN115798198A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN115798198A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN115798198A3</originalsourceid><addsrcrecordid>eNrjZAgKLUpKzFMoyk9MUchLLSnPL8pWKClKLEvNUSjJzE1VSMksLinKTCotyczPU0gtBoolgpm5qSUZ-SkKSYnFqSkKQH5KYkmiQlppMVCOh4E1LTGnOJUXSnMzKLq5hjh76KYW5MenFhckJqcCbYp39jM0NDW3tDC0tHA0JkYNAE0aOIg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Urban road network travel time distribution estimation method based on data fusion</title><source>esp@cenet</source><creator>LI BIAO ; WU XIAODONG ; TANG KESHUANG ; QIU HONGTONG ; FENG CHUNFANG ; DONG KAIFAN ; TANG RUOTIAN ; LU JIAN ; WANG MING</creator><creatorcontrib>LI BIAO ; WU XIAODONG ; TANG KESHUANG ; QIU HONGTONG ; FENG CHUNFANG ; DONG KAIFAN ; TANG RUOTIAN ; LU JIAN ; WANG MING</creatorcontrib><description>The invention provides an urban road network travel time distribution estimation method based on data fusion, and the method comprises the steps: firstly obtaining a path rsk based on the track data of a network-connected vehicle uploaded by a floating vehicle, then calculating the travel time distribution probability density of any path, and then calibrating the time for AVI data collected by an electronic police bayonet device. According to the method, travel time information of AVI local observation and global distribution information provided by the networked vehicles are combined, the problems that in an existing method, it is difficult to deal with deviation of networked vehicle samples and the coverage rate in a vehicle automatic identification equipment road network is low are solved, it is ensured that urban road network travel time distribution estimation is not limited by the arrangement density factor of detectors in the road network, and the estimation accuracy of urban road network travel time d</description><language>chi ; eng</language><subject>PHYSICS ; SIGNALLING ; TRAFFIC CONTROL SYSTEMS</subject><creationdate>2023</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20230314&amp;DB=EPODOC&amp;CC=CN&amp;NR=115798198A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20230314&amp;DB=EPODOC&amp;CC=CN&amp;NR=115798198A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>LI BIAO</creatorcontrib><creatorcontrib>WU XIAODONG</creatorcontrib><creatorcontrib>TANG KESHUANG</creatorcontrib><creatorcontrib>QIU HONGTONG</creatorcontrib><creatorcontrib>FENG CHUNFANG</creatorcontrib><creatorcontrib>DONG KAIFAN</creatorcontrib><creatorcontrib>TANG RUOTIAN</creatorcontrib><creatorcontrib>LU JIAN</creatorcontrib><creatorcontrib>WANG MING</creatorcontrib><title>Urban road network travel time distribution estimation method based on data fusion</title><description>The invention provides an urban road network travel time distribution estimation method based on data fusion, and the method comprises the steps: firstly obtaining a path rsk based on the track data of a network-connected vehicle uploaded by a floating vehicle, then calculating the travel time distribution probability density of any path, and then calibrating the time for AVI data collected by an electronic police bayonet device. According to the method, travel time information of AVI local observation and global distribution information provided by the networked vehicles are combined, the problems that in an existing method, it is difficult to deal with deviation of networked vehicle samples and the coverage rate in a vehicle automatic identification equipment road network is low are solved, it is ensured that urban road network travel time distribution estimation is not limited by the arrangement density factor of detectors in the road network, and the estimation accuracy of urban road network travel time d</description><subject>PHYSICS</subject><subject>SIGNALLING</subject><subject>TRAFFIC CONTROL SYSTEMS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZAgKLUpKzFMoyk9MUchLLSnPL8pWKClKLEvNUSjJzE1VSMksLinKTCotyczPU0gtBoolgpm5qSUZ-SkKSYnFqSkKQH5KYkmiQlppMVCOh4E1LTGnOJUXSnMzKLq5hjh76KYW5MenFhckJqcCbYp39jM0NDW3tDC0tHA0JkYNAE0aOIg</recordid><startdate>20230314</startdate><enddate>20230314</enddate><creator>LI BIAO</creator><creator>WU XIAODONG</creator><creator>TANG KESHUANG</creator><creator>QIU HONGTONG</creator><creator>FENG CHUNFANG</creator><creator>DONG KAIFAN</creator><creator>TANG RUOTIAN</creator><creator>LU JIAN</creator><creator>WANG MING</creator><scope>EVB</scope></search><sort><creationdate>20230314</creationdate><title>Urban road network travel time distribution estimation method based on data fusion</title><author>LI BIAO ; WU XIAODONG ; TANG KESHUANG ; QIU HONGTONG ; FENG CHUNFANG ; DONG KAIFAN ; TANG RUOTIAN ; LU JIAN ; WANG MING</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN115798198A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2023</creationdate><topic>PHYSICS</topic><topic>SIGNALLING</topic><topic>TRAFFIC CONTROL SYSTEMS</topic><toplevel>online_resources</toplevel><creatorcontrib>LI BIAO</creatorcontrib><creatorcontrib>WU XIAODONG</creatorcontrib><creatorcontrib>TANG KESHUANG</creatorcontrib><creatorcontrib>QIU HONGTONG</creatorcontrib><creatorcontrib>FENG CHUNFANG</creatorcontrib><creatorcontrib>DONG KAIFAN</creatorcontrib><creatorcontrib>TANG RUOTIAN</creatorcontrib><creatorcontrib>LU JIAN</creatorcontrib><creatorcontrib>WANG MING</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>LI BIAO</au><au>WU XIAODONG</au><au>TANG KESHUANG</au><au>QIU HONGTONG</au><au>FENG CHUNFANG</au><au>DONG KAIFAN</au><au>TANG RUOTIAN</au><au>LU JIAN</au><au>WANG MING</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Urban road network travel time distribution estimation method based on data fusion</title><date>2023-03-14</date><risdate>2023</risdate><abstract>The invention provides an urban road network travel time distribution estimation method based on data fusion, and the method comprises the steps: firstly obtaining a path rsk based on the track data of a network-connected vehicle uploaded by a floating vehicle, then calculating the travel time distribution probability density of any path, and then calibrating the time for AVI data collected by an electronic police bayonet device. According to the method, travel time information of AVI local observation and global distribution information provided by the networked vehicles are combined, the problems that in an existing method, it is difficult to deal with deviation of networked vehicle samples and the coverage rate in a vehicle automatic identification equipment road network is low are solved, it is ensured that urban road network travel time distribution estimation is not limited by the arrangement density factor of detectors in the road network, and the estimation accuracy of urban road network travel time d</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language chi ; eng
recordid cdi_epo_espacenet_CN115798198A
source esp@cenet
subjects PHYSICS
SIGNALLING
TRAFFIC CONTROL SYSTEMS
title Urban road network travel time distribution estimation method based on data fusion
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-28T06%3A27%3A20IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=LI%20BIAO&rft.date=2023-03-14&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN115798198A%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true