A Ramp Metering Method Based on Congestion Status in the Urban Freeway
In ramp metering methods, the ALINEA algorithm is a very effective way and has been applied widely. But the critical occupancy in ALINEA algorithm is often difficult to obtain and not particularly accurate. It will greatly affect the performance of ALINEA algorithm. In this paper, an improved ALINEA...
Gespeichert in:
| Veröffentlicht in: | IEEE access 2020, Vol.8, p.76823-76831 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 76831 |
|---|---|
| container_issue | |
| container_start_page | 76823 |
| container_title | IEEE access |
| container_volume | 8 |
| creator | Liu, Zhi Wu, Ye Cao, Shipeng Zhu, Linan Shen, Guojiang |
| description | In ramp metering methods, the ALINEA algorithm is a very effective way and has been applied widely. But the critical occupancy in ALINEA algorithm is often difficult to obtain and not particularly accurate. It will greatly affect the performance of ALINEA algorithm. In this paper, an improved ALINEA algorithm, named CS-ALINEA, is proposed. In this method, the traffic flow is used to replace the occupancy as the control parameter and the control rate can be selected according to the congestion status reclassified adaptively. In the existing ramp control methods, to guarantee the traffic efficiency of mainstream, the impact of ramp overflow on ground road traffic is often ignored. In order to resolve this issue, the segmented control method is adopted in this paper. When the ramp queuing length exceeds the critical queue length, the signal timing scheme is adjusted by selecting the control rate to avoid the ramp overflow. The SUMO simulation platform is used to simulate the ramp control and test the CS-ALINEA algorithm. The experimental results show that the proposed method can optimize the ramp queuing length and reduce waiting time of vehicles while the efficiency of urban freeway can be guaranteed. |
| doi_str_mv | 10.1109/ACCESS.2020.2990646 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1109_ACCESS_2020_2990646</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9079531</ieee_id><doaj_id>oai_doaj_org_article_0932e8c9525148c6bd2b73b48f04baee</doaj_id><sourcerecordid>2454093956</sourcerecordid><originalsourceid>FETCH-LOGICAL-c408t-e94e18fd0156853587136fac3db2192bb4e8a09b95daa2bb27f253534f7f2da43</originalsourceid><addsrcrecordid>eNpNUF1PwjAUbYwmEuQX8NLE52E_t_YRF1ASjInIc9NudzACK3Yjhn9vccR4X-7pyTmn7UFoTMmEUqKfpnk-W60mjDAyYVqTVKQ3aMBoqhMueXr7D9-jUdvuSBwVKZkN0HyKP-zhiN-gg1A3mwvY-hI_2xZK7Buc-2YDbVdHuOpsd2px3eBuC3gdnG3wPAB82_MDuqvsvoXRdQ_Rej77zF-T5fvLIp8uk0IQ1SWgBVBVlYTKVEkuVUZ5WtmCl45RzZwToCzRTsvS2nhkWcWijIsqgtIKPkSLPrf0dmeOoT7YcDbe1uaX8GFjbOjqYg-GaM5AFVoySYUqUlcyl3EnVEWEswAx67HPOgb_dYp_NDt_Ck18vmFCiujXMo0q3quK4Ns2QPV3KyXm0r_p-zeX_s21_-ga964aAP4cmmRacsp_ALvcfwY</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2454093956</pqid></control><display><type>article</type><title>A Ramp Metering Method Based on Congestion Status in the Urban Freeway</title><source>IEEE Open Access Journals</source><source>DOAJ Directory of Open Access Journals</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Liu, Zhi ; Wu, Ye ; Cao, Shipeng ; Zhu, Linan ; Shen, Guojiang</creator><creatorcontrib>Liu, Zhi ; Wu, Ye ; Cao, Shipeng ; Zhu, Linan ; Shen, Guojiang</creatorcontrib><description>In ramp metering methods, the ALINEA algorithm is a very effective way and has been applied widely. But the critical occupancy in ALINEA algorithm is often difficult to obtain and not particularly accurate. It will greatly affect the performance of ALINEA algorithm. In this paper, an improved ALINEA algorithm, named CS-ALINEA, is proposed. In this method, the traffic flow is used to replace the occupancy as the control parameter and the control rate can be selected according to the congestion status reclassified adaptively. In the existing ramp control methods, to guarantee the traffic efficiency of mainstream, the impact of ramp overflow on ground road traffic is often ignored. In order to resolve this issue, the segmented control method is adopted in this paper. When the ramp queuing length exceeds the critical queue length, the signal timing scheme is adjusted by selecting the control rate to avoid the ramp overflow. The SUMO simulation platform is used to simulate the ramp control and test the CS-ALINEA algorithm. The experimental results show that the proposed method can optimize the ramp queuing length and reduce waiting time of vehicles while the efficiency of urban freeway can be guaranteed.</description><identifier>ISSN: 2169-3536</identifier><identifier>EISSN: 2169-3536</identifier><identifier>DOI: 10.1109/ACCESS.2020.2990646</identifier><identifier>CODEN: IAECCG</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Algorithms ; ALINEA ; congestion status ; Control methods ; Highways ; Mathematical model ; Microwave theory and techniques ; Occupancy ; Overflow ; Probability ; queuing length ; Ramp metering ; Real-time systems ; Roads ; Roads & highways ; SUMO ; Timing ; Traffic congestion ; Traffic control ; Traffic flow</subject><ispartof>IEEE access, 2020, Vol.8, p.76823-76831</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c408t-e94e18fd0156853587136fac3db2192bb4e8a09b95daa2bb27f253534f7f2da43</citedby><cites>FETCH-LOGICAL-c408t-e94e18fd0156853587136fac3db2192bb4e8a09b95daa2bb27f253534f7f2da43</cites><orcidid>0000-0002-7574-4413 ; 0000-0002-7451-4421 ; 0000-0003-1064-1250 ; 0000-0002-0395-6409 ; 0000-0001-8320-820X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9079531$$EHTML$$P50$$Gieee$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,864,2100,4021,27631,27921,27922,27923,54931</link.rule.ids></links><search><creatorcontrib>Liu, Zhi</creatorcontrib><creatorcontrib>Wu, Ye</creatorcontrib><creatorcontrib>Cao, Shipeng</creatorcontrib><creatorcontrib>Zhu, Linan</creatorcontrib><creatorcontrib>Shen, Guojiang</creatorcontrib><title>A Ramp Metering Method Based on Congestion Status in the Urban Freeway</title><title>IEEE access</title><addtitle>Access</addtitle><description>In ramp metering methods, the ALINEA algorithm is a very effective way and has been applied widely. But the critical occupancy in ALINEA algorithm is often difficult to obtain and not particularly accurate. It will greatly affect the performance of ALINEA algorithm. In this paper, an improved ALINEA algorithm, named CS-ALINEA, is proposed. In this method, the traffic flow is used to replace the occupancy as the control parameter and the control rate can be selected according to the congestion status reclassified adaptively. In the existing ramp control methods, to guarantee the traffic efficiency of mainstream, the impact of ramp overflow on ground road traffic is often ignored. In order to resolve this issue, the segmented control method is adopted in this paper. When the ramp queuing length exceeds the critical queue length, the signal timing scheme is adjusted by selecting the control rate to avoid the ramp overflow. The SUMO simulation platform is used to simulate the ramp control and test the CS-ALINEA algorithm. The experimental results show that the proposed method can optimize the ramp queuing length and reduce waiting time of vehicles while the efficiency of urban freeway can be guaranteed.</description><subject>Algorithms</subject><subject>ALINEA</subject><subject>congestion status</subject><subject>Control methods</subject><subject>Highways</subject><subject>Mathematical model</subject><subject>Microwave theory and techniques</subject><subject>Occupancy</subject><subject>Overflow</subject><subject>Probability</subject><subject>queuing length</subject><subject>Ramp metering</subject><subject>Real-time systems</subject><subject>Roads</subject><subject>Roads & highways</subject><subject>SUMO</subject><subject>Timing</subject><subject>Traffic congestion</subject><subject>Traffic control</subject><subject>Traffic flow</subject><issn>2169-3536</issn><issn>2169-3536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>DOA</sourceid><recordid>eNpNUF1PwjAUbYwmEuQX8NLE52E_t_YRF1ASjInIc9NudzACK3Yjhn9vccR4X-7pyTmn7UFoTMmEUqKfpnk-W60mjDAyYVqTVKQ3aMBoqhMueXr7D9-jUdvuSBwVKZkN0HyKP-zhiN-gg1A3mwvY-hI_2xZK7Buc-2YDbVdHuOpsd2px3eBuC3gdnG3wPAB82_MDuqvsvoXRdQ_Rej77zF-T5fvLIp8uk0IQ1SWgBVBVlYTKVEkuVUZ5WtmCl45RzZwToCzRTsvS2nhkWcWijIsqgtIKPkSLPrf0dmeOoT7YcDbe1uaX8GFjbOjqYg-GaM5AFVoySYUqUlcyl3EnVEWEswAx67HPOgb_dYp_NDt_Ck18vmFCiujXMo0q3quK4Ns2QPV3KyXm0r_p-zeX_s21_-ga964aAP4cmmRacsp_ALvcfwY</recordid><startdate>2020</startdate><enddate>2020</enddate><creator>Liu, Zhi</creator><creator>Wu, Ye</creator><creator>Cao, Shipeng</creator><creator>Zhu, Linan</creator><creator>Shen, Guojiang</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>ESBDL</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7SR</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-7574-4413</orcidid><orcidid>https://orcid.org/0000-0002-7451-4421</orcidid><orcidid>https://orcid.org/0000-0003-1064-1250</orcidid><orcidid>https://orcid.org/0000-0002-0395-6409</orcidid><orcidid>https://orcid.org/0000-0001-8320-820X</orcidid></search><sort><creationdate>2020</creationdate><title>A Ramp Metering Method Based on Congestion Status in the Urban Freeway</title><author>Liu, Zhi ; Wu, Ye ; Cao, Shipeng ; Zhu, Linan ; Shen, Guojiang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c408t-e94e18fd0156853587136fac3db2192bb4e8a09b95daa2bb27f253534f7f2da43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Algorithms</topic><topic>ALINEA</topic><topic>congestion status</topic><topic>Control methods</topic><topic>Highways</topic><topic>Mathematical model</topic><topic>Microwave theory and techniques</topic><topic>Occupancy</topic><topic>Overflow</topic><topic>Probability</topic><topic>queuing length</topic><topic>Ramp metering</topic><topic>Real-time systems</topic><topic>Roads</topic><topic>Roads & highways</topic><topic>SUMO</topic><topic>Timing</topic><topic>Traffic congestion</topic><topic>Traffic control</topic><topic>Traffic flow</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Zhi</creatorcontrib><creatorcontrib>Wu, Ye</creatorcontrib><creatorcontrib>Cao, Shipeng</creatorcontrib><creatorcontrib>Zhu, Linan</creatorcontrib><creatorcontrib>Shen, Guojiang</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE Open Access Journals</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>IEEE access</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Zhi</au><au>Wu, Ye</au><au>Cao, Shipeng</au><au>Zhu, Linan</au><au>Shen, Guojiang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Ramp Metering Method Based on Congestion Status in the Urban Freeway</atitle><jtitle>IEEE access</jtitle><stitle>Access</stitle><date>2020</date><risdate>2020</risdate><volume>8</volume><spage>76823</spage><epage>76831</epage><pages>76823-76831</pages><issn>2169-3536</issn><eissn>2169-3536</eissn><coden>IAECCG</coden><abstract>In ramp metering methods, the ALINEA algorithm is a very effective way and has been applied widely. But the critical occupancy in ALINEA algorithm is often difficult to obtain and not particularly accurate. It will greatly affect the performance of ALINEA algorithm. In this paper, an improved ALINEA algorithm, named CS-ALINEA, is proposed. In this method, the traffic flow is used to replace the occupancy as the control parameter and the control rate can be selected according to the congestion status reclassified adaptively. In the existing ramp control methods, to guarantee the traffic efficiency of mainstream, the impact of ramp overflow on ground road traffic is often ignored. In order to resolve this issue, the segmented control method is adopted in this paper. When the ramp queuing length exceeds the critical queue length, the signal timing scheme is adjusted by selecting the control rate to avoid the ramp overflow. The SUMO simulation platform is used to simulate the ramp control and test the CS-ALINEA algorithm. The experimental results show that the proposed method can optimize the ramp queuing length and reduce waiting time of vehicles while the efficiency of urban freeway can be guaranteed.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/ACCESS.2020.2990646</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-7574-4413</orcidid><orcidid>https://orcid.org/0000-0002-7451-4421</orcidid><orcidid>https://orcid.org/0000-0003-1064-1250</orcidid><orcidid>https://orcid.org/0000-0002-0395-6409</orcidid><orcidid>https://orcid.org/0000-0001-8320-820X</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2169-3536 |
| ispartof | IEEE access, 2020, Vol.8, p.76823-76831 |
| issn | 2169-3536 2169-3536 |
| language | eng |
| recordid | cdi_crossref_primary_10_1109_ACCESS_2020_2990646 |
| source | IEEE Open Access Journals; DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals |
| subjects | Algorithms ALINEA congestion status Control methods Highways Mathematical model Microwave theory and techniques Occupancy Overflow Probability queuing length Ramp metering Real-time systems Roads Roads & highways SUMO Timing Traffic congestion Traffic control Traffic flow |
| title | A Ramp Metering Method Based on Congestion Status in the Urban Freeway |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-13T17%3A02%3A32IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20Ramp%20Metering%20Method%20Based%20on%20Congestion%20Status%20in%20the%20Urban%20Freeway&rft.jtitle=IEEE%20access&rft.au=Liu,%20Zhi&rft.date=2020&rft.volume=8&rft.spage=76823&rft.epage=76831&rft.pages=76823-76831&rft.issn=2169-3536&rft.eissn=2169-3536&rft.coden=IAECCG&rft_id=info:doi/10.1109/ACCESS.2020.2990646&rft_dat=%3Cproquest_cross%3E2454093956%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2454093956&rft_id=info:pmid/&rft_ieee_id=9079531&rft_doaj_id=oai_doaj_org_article_0932e8c9525148c6bd2b73b48f04baee&rfr_iscdi=true |