Cooperative Eco-Driving at Signalized Intersections in a Partially Connected and Automated Vehicle Environment
The emergence of connected and automated vehicle (CAV) technology has the potential to bring a number of benefits to our existing transportation systems. Specifically, when CAVs travel along an arterial corridor with signalized intersections, they can not only be driven automatically using pre-desig...
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Veröffentlicht in: | IEEE transactions on intelligent transportation systems 2020-05, Vol.21 (5), p.2029-2038 |
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creator | Wang, Ziran Wu, Guoyuan Barth, Matthew J. |
description | The emergence of connected and automated vehicle (CAV) technology has the potential to bring a number of benefits to our existing transportation systems. Specifically, when CAVs travel along an arterial corridor with signalized intersections, they can not only be driven automatically using pre-designed control models but can also communicate with other CAVs and the roadside infrastructure. In this paper, we describe a cooperative eco-driving (CED) system targeted for signalized corridors, focusing on how the penetration rate of CAVs affects the energy efficiency of the traffic network. In particular, we propose a role transition protocol for CAVs to switch between a leader and following vehicles in a string. Longitudinal control models are developed for conventional vehicles in the network and for different CAVs based on their roles and distances to intersections. A microscopic traffic simulation evaluation has been conducted using PTV VISSIM with realistic traffic data collected for the City of Riverside, CA, USA. The effects on traffic mobility are evaluated, and the environmental benefits are analyzed by the U.S. Environmental Protection Agency's MOtor Vehicle Emission Simulator (MOVES) model. The simulation results indicate that the energy consumption and pollutant emissions of the proposed system decrease, as the penetration rate of CAVs increases. Specifically, more than 7% reduction on energy consumption and up to 59% reduction on pollutant emission can be achieved when all vehicles in the proposed system are CAVs. |
doi_str_mv | 10.1109/TITS.2019.2911607 |
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Specifically, when CAVs travel along an arterial corridor with signalized intersections, they can not only be driven automatically using pre-designed control models but can also communicate with other CAVs and the roadside infrastructure. In this paper, we describe a cooperative eco-driving (CED) system targeted for signalized corridors, focusing on how the penetration rate of CAVs affects the energy efficiency of the traffic network. In particular, we propose a role transition protocol for CAVs to switch between a leader and following vehicles in a string. Longitudinal control models are developed for conventional vehicles in the network and for different CAVs based on their roles and distances to intersections. A microscopic traffic simulation evaluation has been conducted using PTV VISSIM with realistic traffic data collected for the City of Riverside, CA, USA. The effects on traffic mobility are evaluated, and the environmental benefits are analyzed by the U.S. Environmental Protection Agency's MOtor Vehicle Emission Simulator (MOVES) model. The simulation results indicate that the energy consumption and pollutant emissions of the proposed system decrease, as the penetration rate of CAVs increases. Specifically, more than 7% reduction on energy consumption and up to 59% reduction on pollutant emission can be achieved when all vehicles in the proposed system are CAVs.</description><identifier>ISSN: 1524-9050</identifier><identifier>EISSN: 1558-0016</identifier><identifier>DOI: 10.1109/TITS.2019.2911607</identifier><identifier>CODEN: ITISFG</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Analytical models ; Automation ; Biological system modeling ; Computer simulation ; Connected and automated vehicles (CAVs) ; cooperative adaptive cruise control (CACC) ; Driving ; eco-approach and departure (EAD) ; eco-driving ; Emissions control ; Energy consumption ; Environmental protection ; Longitudinal control ; Microscopy ; mixed traffic ; Motor vehicles ; Penetration ; Pollutants ; Protocols ; Roadsides ; Safety ; signalized intersections ; Traffic information ; Traffic intersections ; Transportation corridors ; Transportation networks ; Transportation systems ; Vehicle emissions ; Vehicles</subject><ispartof>IEEE transactions on intelligent transportation systems, 2020-05, Vol.21 (5), p.2029-2038</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-c402t-49c65d47badc8c270aa4f339be7e63e2c565a67016fdbcee7b5ab47a518a353c3</citedby><cites>FETCH-LOGICAL-c402t-49c65d47badc8c270aa4f339be7e63e2c565a67016fdbcee7b5ab47a518a353c3</cites><orcidid>0000-0003-2702-7150 ; 0000-0001-6707-6366 ; 0000-0002-4735-5859</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/8704319$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27923,27924,54757</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/8704319$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Wang, Ziran</creatorcontrib><creatorcontrib>Wu, Guoyuan</creatorcontrib><creatorcontrib>Barth, Matthew J.</creatorcontrib><title>Cooperative Eco-Driving at Signalized Intersections in a Partially Connected and Automated Vehicle Environment</title><title>IEEE transactions on intelligent transportation systems</title><addtitle>TITS</addtitle><description>The emergence of connected and automated vehicle (CAV) technology has the potential to bring a number of benefits to our existing transportation systems. Specifically, when CAVs travel along an arterial corridor with signalized intersections, they can not only be driven automatically using pre-designed control models but can also communicate with other CAVs and the roadside infrastructure. In this paper, we describe a cooperative eco-driving (CED) system targeted for signalized corridors, focusing on how the penetration rate of CAVs affects the energy efficiency of the traffic network. In particular, we propose a role transition protocol for CAVs to switch between a leader and following vehicles in a string. Longitudinal control models are developed for conventional vehicles in the network and for different CAVs based on their roles and distances to intersections. A microscopic traffic simulation evaluation has been conducted using PTV VISSIM with realistic traffic data collected for the City of Riverside, CA, USA. The effects on traffic mobility are evaluated, and the environmental benefits are analyzed by the U.S. Environmental Protection Agency's MOtor Vehicle Emission Simulator (MOVES) model. The simulation results indicate that the energy consumption and pollutant emissions of the proposed system decrease, as the penetration rate of CAVs increases. 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Specifically, when CAVs travel along an arterial corridor with signalized intersections, they can not only be driven automatically using pre-designed control models but can also communicate with other CAVs and the roadside infrastructure. In this paper, we describe a cooperative eco-driving (CED) system targeted for signalized corridors, focusing on how the penetration rate of CAVs affects the energy efficiency of the traffic network. In particular, we propose a role transition protocol for CAVs to switch between a leader and following vehicles in a string. Longitudinal control models are developed for conventional vehicles in the network and for different CAVs based on their roles and distances to intersections. A microscopic traffic simulation evaluation has been conducted using PTV VISSIM with realistic traffic data collected for the City of Riverside, CA, USA. The effects on traffic mobility are evaluated, and the environmental benefits are analyzed by the U.S. Environmental Protection Agency's MOtor Vehicle Emission Simulator (MOVES) model. The simulation results indicate that the energy consumption and pollutant emissions of the proposed system decrease, as the penetration rate of CAVs increases. Specifically, more than 7% reduction on energy consumption and up to 59% reduction on pollutant emission can be achieved when all vehicles in the proposed system are CAVs.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TITS.2019.2911607</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0003-2702-7150</orcidid><orcidid>https://orcid.org/0000-0001-6707-6366</orcidid><orcidid>https://orcid.org/0000-0002-4735-5859</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Analytical models Automation Biological system modeling Computer simulation Connected and automated vehicles (CAVs) cooperative adaptive cruise control (CACC) Driving eco-approach and departure (EAD) eco-driving Emissions control Energy consumption Environmental protection Longitudinal control Microscopy mixed traffic Motor vehicles Penetration Pollutants Protocols Roadsides Safety signalized intersections Traffic information Traffic intersections Transportation corridors Transportation networks Transportation systems Vehicle emissions Vehicles |
title | Cooperative Eco-Driving at Signalized Intersections in a Partially Connected and Automated Vehicle Environment |
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