Improving Urban Traffic by Velocity Guidance

Improving Urban Traffic by Velocity Guidance

In this paper, we use CA model to study the traffic flow on a ring road with one traffic light. A velocity guidance strategy is presented: when crossing traffic light, a message will give the driver a desired velocity in order that he can avoid sharply brakes when signal light turns red. The numeric...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Mei Chao-Qun, Huang Hai-Jun, Tang Tie-Qiao
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Automatic control
Automation
Control systems
Feedback
Lighting control
Navigation
Roads
Space technology
Traffic control
Vehicles
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 387
container_issue
container_start_page 383
container_title
container_volume 2
creator Mei Chao-Qun
Huang Hai-Jun
Tang Tie-Qiao
description In this paper, we use CA model to study the traffic flow on a ring road with one traffic light. A velocity guidance strategy is presented: when crossing traffic light, a message will give the driver a desired velocity in order that he can avoid sharply brakes when signal light turns red. The numerical results show that the velocity guidance strategy can efficiently reduce the ratio of the stopped vehicles and get relatively high and stable flow.
doi_str_mv 10.1109/ICICTA.2008.288
format Conference Proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_4659788</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>4659788</ieee_id><sourcerecordid>4659788</sourcerecordid><originalsourceid>FETCH-LOGICAL-c221t-585b34d6b31baa8c29c1cf87dc674674ef3edb22619e2912799a38e70936a38c3</originalsourceid><addsrcrecordid>eNotjM1Kw0AURgekoK1du3CTBzBx7tz5u8sStA0U3KRuy8xkRkbatCRVyNtbUfjgHM7iY-wBeAXA6bmpm7pdVYJzWwlrb9icG00KURk5Y_PfTsgl4S1bjuMn5xxIGxBwx56a43k4fef-o9gN3vVFO7iUcij8VLzHwynky1Ssv3Ln-hDv2Sy5wxiX_1yw3etLW2_K7du6qVfbMggBl1JZ5VF22iN452wQFCAka7qgjbwuJoydF0IDRUEgDJFDGw0n1FcJuGCPf785xrg_D_nohmkvtSJjLf4ADQlBYw</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Improving Urban Traffic by Velocity Guidance</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Mei Chao-Qun ; Huang Hai-Jun ; Tang Tie-Qiao</creator><creatorcontrib>Mei Chao-Qun ; Huang Hai-Jun ; Tang Tie-Qiao</creatorcontrib><description>In this paper, we use CA model to study the traffic flow on a ring road with one traffic light. A velocity guidance strategy is presented: when crossing traffic light, a message will give the driver a desired velocity in order that he can avoid sharply brakes when signal light turns red. The numerical results show that the velocity guidance strategy can efficiently reduce the ratio of the stopped vehicles and get relatively high and stable flow.</description><identifier>ISBN: 0769533574</identifier><identifier>ISBN: 9780769533575</identifier><identifier>DOI: 10.1109/ICICTA.2008.288</identifier><identifier>LCCN: 2008930493</identifier><language>eng</language><publisher>IEEE</publisher><subject>Automatic control ; Automation ; Control systems ; Feedback ; Lighting control ; Navigation ; Roads ; Space technology ; Traffic control ; Vehicles</subject><ispartof>2008 International Conference on Intelligent Computation Technology and Automation (ICICTA), 2008, Vol.2, p.383-387</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c221t-585b34d6b31baa8c29c1cf87dc674674ef3edb22619e2912799a38e70936a38c3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4659788$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4659788$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Mei Chao-Qun</creatorcontrib><creatorcontrib>Huang Hai-Jun</creatorcontrib><creatorcontrib>Tang Tie-Qiao</creatorcontrib><title>Improving Urban Traffic by Velocity Guidance</title><title>2008 International Conference on Intelligent Computation Technology and Automation (ICICTA)</title><addtitle>ICICTA</addtitle><description>In this paper, we use CA model to study the traffic flow on a ring road with one traffic light. A velocity guidance strategy is presented: when crossing traffic light, a message will give the driver a desired velocity in order that he can avoid sharply brakes when signal light turns red. The numerical results show that the velocity guidance strategy can efficiently reduce the ratio of the stopped vehicles and get relatively high and stable flow.</description><subject>Automatic control</subject><subject>Automation</subject><subject>Control systems</subject><subject>Feedback</subject><subject>Lighting control</subject><subject>Navigation</subject><subject>Roads</subject><subject>Space technology</subject><subject>Traffic control</subject><subject>Vehicles</subject><isbn>0769533574</isbn><isbn>9780769533575</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjM1Kw0AURgekoK1du3CTBzBx7tz5u8sStA0U3KRuy8xkRkbatCRVyNtbUfjgHM7iY-wBeAXA6bmpm7pdVYJzWwlrb9icG00KURk5Y_PfTsgl4S1bjuMn5xxIGxBwx56a43k4fef-o9gN3vVFO7iUcij8VLzHwynky1Ssv3Ln-hDv2Sy5wxiX_1yw3etLW2_K7du6qVfbMggBl1JZ5VF22iN452wQFCAka7qgjbwuJoydF0IDRUEgDJFDGw0n1FcJuGCPf785xrg_D_nohmkvtSJjLf4ADQlBYw</recordid><startdate>200810</startdate><enddate>200810</enddate><creator>Mei Chao-Qun</creator><creator>Huang Hai-Jun</creator><creator>Tang Tie-Qiao</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200810</creationdate><title>Improving Urban Traffic by Velocity Guidance</title><author>Mei Chao-Qun ; Huang Hai-Jun ; Tang Tie-Qiao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c221t-585b34d6b31baa8c29c1cf87dc674674ef3edb22619e2912799a38e70936a38c3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Automatic control</topic><topic>Automation</topic><topic>Control systems</topic><topic>Feedback</topic><topic>Lighting control</topic><topic>Navigation</topic><topic>Roads</topic><topic>Space technology</topic><topic>Traffic control</topic><topic>Vehicles</topic><toplevel>online_resources</toplevel><creatorcontrib>Mei Chao-Qun</creatorcontrib><creatorcontrib>Huang Hai-Jun</creatorcontrib><creatorcontrib>Tang Tie-Qiao</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>Mei Chao-Qun</au><au>Huang Hai-Jun</au><au>Tang Tie-Qiao</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Improving Urban Traffic by Velocity Guidance</atitle><btitle>2008 International Conference on Intelligent Computation Technology and Automation (ICICTA)</btitle><stitle>ICICTA</stitle><date>2008-10</date><risdate>2008</risdate><volume>2</volume><spage>383</spage><epage>387</epage><pages>383-387</pages><isbn>0769533574</isbn><isbn>9780769533575</isbn><abstract>In this paper, we use CA model to study the traffic flow on a ring road with one traffic light. A velocity guidance strategy is presented: when crossing traffic light, a message will give the driver a desired velocity in order that he can avoid sharply brakes when signal light turns red. The numerical results show that the velocity guidance strategy can efficiently reduce the ratio of the stopped vehicles and get relatively high and stable flow.</abstract><pub>IEEE</pub><doi>10.1109/ICICTA.2008.288</doi><tpages>5</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISBN: 0769533574
ispartof 2008 International Conference on Intelligent Computation Technology and Automation (ICICTA), 2008, Vol.2, p.383-387
issn
language eng
recordid cdi_ieee_primary_4659788
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Automatic control
Automation
Control systems
Feedback
Lighting control
Navigation
Roads
Space technology
Traffic control
Vehicles
title Improving Urban Traffic by Velocity Guidance
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-28T11%3A43%3A35IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Improving%20Urban%20Traffic%20by%20Velocity%20Guidance&rft.btitle=2008%20International%20Conference%20on%20Intelligent%20Computation%20Technology%20and%20Automation%20(ICICTA)&rft.au=Mei%20Chao-Qun&rft.date=2008-10&rft.volume=2&rft.spage=383&rft.epage=387&rft.pages=383-387&rft.isbn=0769533574&rft.isbn_list=9780769533575&rft_id=info:doi/10.1109/ICICTA.2008.288&rft_dat=%3Cieee_6IE%3E4659788%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=4659788&rfr_iscdi=true