A Novel Traffic Light Scheduling Based on TLVC and Vehicles' Priority for Reducing Fuel Consumption and \text2 Emission
This paper proposes a novel and adaptive traffic light scheduling scheme via two-way traffic-light-to-vehicle communication (TLVC) for fuel consumption and \text{CO}_2 emission reduction, namely \text{CO}_2 Red. In addition to TLVC, a pioneer priority framework is also proposed to give a high priori...
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Veröffentlicht in: | IEEE systems journal 2018-06, Vol.12 (2), p.1230-1238 |
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description | This paper proposes a novel and adaptive traffic light scheduling scheme via two-way traffic-light-to-vehicle communication (TLVC) for fuel consumption and \text{CO}_2 emission reduction, namely \text{CO}_2 Red. In addition to TLVC, a pioneer priority framework is also proposed to give a high priority to heavily loaded vehicles, which consume and emit larger amount of fuel and \text{CO}_2 due to breaking and stoppage. The proposed scheme aims to promote a green driving environment in the land transportation sector by increasing green light hit rate for all vehicles, especially for heavily loaded vehicles, and reduce the total amount of fuel consumption and \text{CO}_2 emission by reducing the number of stops at traffic lights. The simulation results demonstrate that the green light hit rate of all vehicles is greatly improved, especially of heavily loaded vehicles, which consequently reduces fuel consumption and \text{CO}_2 emission in land transportation sector. |
doi_str_mv | 10.1109/JSYST.2015.2500587 |
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In addition to TLVC, a pioneer priority framework is also proposed to give a high priority to heavily loaded vehicles, which consume and emit larger amount of fuel and <inline-formula><tex-math notation="LaTeX">\text{CO}_2</tex-math></inline-formula> due to breaking and stoppage. The proposed scheme aims to promote a green driving environment in the land transportation sector by increasing green light hit rate for all vehicles, especially for heavily loaded vehicles, and reduce the total amount of fuel consumption and <inline-formula><tex-math notation="LaTeX">\text{CO}_2</tex-math></inline-formula> emission by reducing the number of stops at traffic lights. The simulation results demonstrate that the green light hit rate of all vehicles is greatly improved, especially of heavily loaded vehicles, which consequently reduces fuel consumption and <inline-formula><tex-math notation="LaTeX">\text{CO}_2</tex-math></inline-formula> emission in land transportation sector.]]></description><identifier>ISSN: 1932-8184</identifier><identifier>EISSN: 1937-9234</identifier><identifier>DOI: 10.1109/JSYST.2015.2500587</identifier><identifier>CODEN: ISJEB2</identifier><language>eng</language><publisher>IEEE</publisher><subject><![CDATA[<named-content xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" content-type="math" xlink:type="simple"> <inline-formula> <tex-math notation="LaTeX"> text{CO}_2</tex-math> </inline-formula> </named-content> emission ; Adaptive traffic light ; Chlorine ; fuel consumption ; Fuels ; green communication ; Green products ; priority ; Schedules ; traffic light-to-vehicle communication (TLVC) ; Vehicles ; Wireless sensor networks]]></subject><ispartof>IEEE systems journal, 2018-06, Vol.12 (2), p.1230-1238</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000-0002-2304-8416</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/7358080$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27922,27923,54756</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/7358080$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Suthaputchakun, Chakkaphong</creatorcontrib><creatorcontrib>Sun, Zhili</creatorcontrib><title>A Novel Traffic Light Scheduling Based on TLVC and Vehicles' Priority for Reducing Fuel Consumption and \text2 Emission</title><title>IEEE systems journal</title><addtitle>JSYST</addtitle><description><![CDATA[This paper proposes a novel and adaptive traffic light scheduling scheme via two-way traffic-light-to-vehicle communication (TLVC) for fuel consumption and <inline-formula><tex-math notation="LaTeX">\text{CO}_2</tex-math></inline-formula> emission reduction, namely <inline-formula><tex-math notation="LaTeX">\text{CO}_2</tex-math></inline-formula> Red. In addition to TLVC, a pioneer priority framework is also proposed to give a high priority to heavily loaded vehicles, which consume and emit larger amount of fuel and <inline-formula><tex-math notation="LaTeX">\text{CO}_2</tex-math></inline-formula> due to breaking and stoppage. The proposed scheme aims to promote a green driving environment in the land transportation sector by increasing green light hit rate for all vehicles, especially for heavily loaded vehicles, and reduce the total amount of fuel consumption and <inline-formula><tex-math notation="LaTeX">\text{CO}_2</tex-math></inline-formula> emission by reducing the number of stops at traffic lights. The simulation results demonstrate that the green light hit rate of all vehicles is greatly improved, especially of heavily loaded vehicles, which consequently reduces fuel consumption and <inline-formula><tex-math notation="LaTeX">\text{CO}_2</tex-math></inline-formula> emission in land transportation sector.]]></description><subject><![CDATA[<named-content xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" content-type="math" xlink:type="simple"> <inline-formula> <tex-math notation="LaTeX"> text{CO}_2</tex-math> </inline-formula> </named-content> emission]]></subject><subject>Adaptive traffic light</subject><subject>Chlorine</subject><subject>fuel consumption</subject><subject>Fuels</subject><subject>green communication</subject><subject>Green products</subject><subject>priority</subject><subject>Schedules</subject><subject>traffic light-to-vehicle communication (TLVC)</subject><subject>Vehicles</subject><subject>Wireless sensor networks</subject><issn>1932-8184</issn><issn>1937-9234</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNp9jE9Lw0AUxBdRsFa_gF7ezVPS3U2XbI4aWooUERMKglCW5KV5kj9ld6P225uIZ08zzMxvGLsVPBSCJ4un7C3LQ8mFCqXiXOn4jM1EEsVBIqPl-a-XgRZ6ecmunPuYJipOZuzrAZ77T2wgt6aqqIAtHWoPWVFjOTTUHeDROCyh7yDf7lIwXQk7rKlo0N3Di6Xekj9B1Vt4HYliItbD-Jf2nRvao6eRnKB3j99ewqol58bsml1UpnF486dzdrde5ekmIETcHy21xp72caQ01zz6v_0BDalNAQ</recordid><startdate>201806</startdate><enddate>201806</enddate><creator>Suthaputchakun, Chakkaphong</creator><creator>Sun, Zhili</creator><general>IEEE</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><orcidid>https://orcid.org/0000-0002-2304-8416</orcidid></search><sort><creationdate>201806</creationdate><title>A Novel Traffic Light Scheduling Based on TLVC and Vehicles' Priority for Reducing Fuel Consumption and \text2 Emission</title><author>Suthaputchakun, Chakkaphong ; Sun, Zhili</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ieee_primary_73580803</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic><![CDATA[<named-content xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" content-type="math" xlink:type="simple"> <inline-formula> <tex-math notation="LaTeX"> text{CO}_2</tex-math> </inline-formula> </named-content> emission]]></topic><topic>Adaptive traffic light</topic><topic>Chlorine</topic><topic>fuel consumption</topic><topic>Fuels</topic><topic>green communication</topic><topic>Green products</topic><topic>priority</topic><topic>Schedules</topic><topic>traffic light-to-vehicle communication (TLVC)</topic><topic>Vehicles</topic><topic>Wireless sensor networks</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Suthaputchakun, Chakkaphong</creatorcontrib><creatorcontrib>Sun, Zhili</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><jtitle>IEEE systems journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Suthaputchakun, Chakkaphong</au><au>Sun, Zhili</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Novel Traffic Light Scheduling Based on TLVC and Vehicles' Priority for Reducing Fuel Consumption and \text2 Emission</atitle><jtitle>IEEE systems journal</jtitle><stitle>JSYST</stitle><date>2018-06</date><risdate>2018</risdate><volume>12</volume><issue>2</issue><spage>1230</spage><epage>1238</epage><pages>1230-1238</pages><issn>1932-8184</issn><eissn>1937-9234</eissn><coden>ISJEB2</coden><abstract><![CDATA[This paper proposes a novel and adaptive traffic light scheduling scheme via two-way traffic-light-to-vehicle communication (TLVC) for fuel consumption and <inline-formula><tex-math notation="LaTeX">\text{CO}_2</tex-math></inline-formula> emission reduction, namely <inline-formula><tex-math notation="LaTeX">\text{CO}_2</tex-math></inline-formula> Red. In addition to TLVC, a pioneer priority framework is also proposed to give a high priority to heavily loaded vehicles, which consume and emit larger amount of fuel and <inline-formula><tex-math notation="LaTeX">\text{CO}_2</tex-math></inline-formula> due to breaking and stoppage. The proposed scheme aims to promote a green driving environment in the land transportation sector by increasing green light hit rate for all vehicles, especially for heavily loaded vehicles, and reduce the total amount of fuel consumption and <inline-formula><tex-math notation="LaTeX">\text{CO}_2</tex-math></inline-formula> emission by reducing the number of stops at traffic lights. The simulation results demonstrate that the green light hit rate of all vehicles is greatly improved, especially of heavily loaded vehicles, which consequently reduces fuel consumption and <inline-formula><tex-math notation="LaTeX">\text{CO}_2</tex-math></inline-formula> emission in land transportation sector.]]></abstract><pub>IEEE</pub><doi>10.1109/JSYST.2015.2500587</doi><orcidid>https://orcid.org/0000-0002-2304-8416</orcidid></addata></record> |
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subjects | <named-content xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" content-type="math" xlink:type="simple"> <inline-formula> <tex-math notation="LaTeX"> text{CO}_2</tex-math> </inline-formula> </named-content> emission Adaptive traffic light Chlorine fuel consumption Fuels green communication Green products priority Schedules traffic light-to-vehicle communication (TLVC) Vehicles Wireless sensor networks |
title | A Novel Traffic Light Scheduling Based on TLVC and Vehicles' Priority for Reducing Fuel Consumption and \text2 Emission |
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