Eco‐Cooperative Driving at Back‐to‐Back Signalized Intersections for Battery‐Electric Vehicles During Both Red and Green Phases of the Traffic Light.
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| Title: | Eco‐Cooperative Driving at Back‐to‐Back Signalized Intersections for Battery‐Electric Vehicles During Both Red and Green Phases of the Traffic Light. |
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| Authors: | Parsi, Ali1 (AUTHOR), Farjah, Ebrahim1 (AUTHOR), Ghanbari, Teymoor2 (AUTHOR) ghanbarih@shirazu.ac.ir, Zhao, Jing (AUTHOR) jing_zhao_traffic@163.com |
| Source: | Journal of Advanced Transportation. 4/24/2026, Vol. 2026, p1-20. 20p. |
| Subjects: | Electric vehicles, Signalized intersections, Traffic engineering, Particle swarm optimization, Sustainable transportation, Motor vehicle driving, Energy consumption |
| Abstract: | Battery electric vehicles (BEVs) are known as a sustainable solution for decarbonizing the transportation system and attaining the objectives of Paris Agreement. The main challenge issues for the widespread adoption of BEVs are battery capacity and driving range limitations. Signalized intersections are one of the places where a considerable amount of the total trip energy is consumed due to their stop‐and‐go nature. One efficient solution to deal with range limitations in BEVs is eco‐driving. In this study, an eco‐cooperative driving strategy was developed for BEVs at back‐to‐back signalized intersections in free‐flow traffic. The optimal trip time and acceleration and deceleration levels are calculated to enable the vehicle to pass through signalized intersections without stopping. The proposed eco‐cooperative driving optimizes a cost function that considers both energy consumption and travel time. The optimization problem was solved using an approach based on the particle swarm optimization technique. The results show that the proposed eco‐cooperative driving strategy could save energy consumption and trip time up to 26.61% and 44.29%, respectively. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Advanced Transportation is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 193256405 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Eco‐Cooperative Driving at Back‐to‐Back Signalized Intersections for Battery‐Electric Vehicles During Both Red and Green Phases of the Traffic Light. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Parsi%2C+Ali%22">Parsi, Ali</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Farjah%2C+Ebrahim%22">Farjah, Ebrahim</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ghanbari%2C+Teymoor%22">Ghanbari, Teymoor</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> ghanbarih@shirazu.ac.ir</i><br /><searchLink fieldCode="AR" term="%22Zhao%2C+Jing%22">Zhao, Jing</searchLink> (AUTHOR)<i> jing_zhao_traffic@163.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Advanced+Transportation%22">Journal of Advanced Transportation</searchLink>. 4/24/2026, Vol. 2026, p1-20. 20p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Electric+vehicles%22">Electric vehicles</searchLink><br /><searchLink fieldCode="DE" term="%22Signalized+intersections%22">Signalized intersections</searchLink><br /><searchLink fieldCode="DE" term="%22Traffic+engineering%22">Traffic engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Particle+swarm+optimization%22">Particle swarm optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Sustainable+transportation%22">Sustainable transportation</searchLink><br /><searchLink fieldCode="DE" term="%22Motor+vehicle+driving%22">Motor vehicle driving</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Battery electric vehicles (BEVs) are known as a sustainable solution for decarbonizing the transportation system and attaining the objectives of Paris Agreement. The main challenge issues for the widespread adoption of BEVs are battery capacity and driving range limitations. Signalized intersections are one of the places where a considerable amount of the total trip energy is consumed due to their stop‐and‐go nature. One efficient solution to deal with range limitations in BEVs is eco‐driving. In this study, an eco‐cooperative driving strategy was developed for BEVs at back‐to‐back signalized intersections in free‐flow traffic. The optimal trip time and acceleration and deceleration levels are calculated to enable the vehicle to pass through signalized intersections without stopping. The proposed eco‐cooperative driving optimizes a cost function that considers both energy consumption and travel time. The optimization problem was solved using an approach based on the particle swarm optimization technique. The results show that the proposed eco‐cooperative driving strategy could save energy consumption and trip time up to 26.61% and 44.29%, respectively. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Advanced Transportation is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1155/atr/5983597 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 1 Subjects: – SubjectFull: Electric vehicles Type: general – SubjectFull: Signalized intersections Type: general – SubjectFull: Traffic engineering Type: general – SubjectFull: Particle swarm optimization Type: general – SubjectFull: Sustainable transportation Type: general – SubjectFull: Motor vehicle driving Type: general – SubjectFull: Energy consumption Type: general Titles: – TitleFull: Eco‐Cooperative Driving at Back‐to‐Back Signalized Intersections for Battery‐Electric Vehicles During Both Red and Green Phases of the Traffic Light. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Parsi, Ali – PersonEntity: Name: NameFull: Farjah, Ebrahim – PersonEntity: Name: NameFull: Ghanbari, Teymoor – PersonEntity: Name: NameFull: Zhao, Jing IsPartOfRelationships: – BibEntity: Dates: – D: 24 M: 04 Text: 4/24/2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 01976729 Numbering: – Type: volume Value: 2026 Titles: – TitleFull: Journal of Advanced Transportation Type: main |
| ResultId | 1 |
