Emission impacts of left-turn lane on light-heavy-duty mixed traffic in signalized intersections: Optimization and empirical analysis
Reducing emissions from the transport sector is one of the crucial countermeasures for climate action. This study focuses on the optimization and emission analysis regarding the impacts of left-turn lanes on the emissions of mixed traffic flow (CO, HC, and NOx) with both heavy-duty vehicles (HDV) an...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-05-01
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| Series: | Heliyon |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844023034679 |
| _version_ | 1827937361194909696 |
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| author | Jieyu Fan Aoyong Li Anugrah Ilahi Kun Gao |
| author_facet | Jieyu Fan Aoyong Li Anugrah Ilahi Kun Gao |
| author_sort | Jieyu Fan |
| collection | DOAJ |
| description | Reducing emissions from the transport sector is one of the crucial countermeasures for climate action. This study focuses on the optimization and emission analysis regarding the impacts of left-turn lanes on the emissions of mixed traffic flow (CO, HC, and NOx) with both heavy-duty vehicles (HDV) and light-duty vehicles (LDV) at urban intersections, combining high-resolution field emission data and simulation tools. Based on high-precision field emission data collected by Portable OBEAS-3000, this study first develops instantaneous emission models for HDV and LDV under various operating conditions. Then, a tailored model is formulated to determine the optimal left-lane length for mixed traffic. Afterward, we empirically validate the model and analyze the effect of the left-turn lane (before and after optimization) on the emissions at the intersections using the established emission models and VISSIM simulations. The proposed method can reduce CO, HC, and NOx emissions crossing intersections by around 30% compared to the original scenario. The proposed method significantly reduces average traffic delays after optimization by 16.67% (North), 21.09% (South), 14.61% (West), and 2.68% (East) in different entrance directions. The maximum queue lengths decrease by 79.42%, 39.09%, and 37.02% in different directions. Even though HDVs account for only a minor traffic volume, they contribute the most to CO, HC, and NOx emissions at the intersection. The optimality of the proposed method is validated through an enumeration process. Overall, the method provides useful guidance and design methods for traffic designers to alleviate traffic congestion and emissions at urban intersections by strengthening left-turn lanes and improving traffic efficiency. |
| first_indexed | 2024-03-13T08:23:23Z |
| format | Article |
| id | doaj.art-107d6a3c761c489f9427dc191412de3a |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-03-13T08:23:23Z |
| publishDate | 2023-05-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-107d6a3c761c489f9427dc191412de3a2023-05-31T04:47:04ZengElsevierHeliyon2405-84402023-05-0195e16260Emission impacts of left-turn lane on light-heavy-duty mixed traffic in signalized intersections: Optimization and empirical analysisJieyu Fan0Aoyong Li1Anugrah Ilahi2Kun Gao3Faculty of Engineering, Computer Science and Psychology, Department of Human Factors, Ulm University, Ulm, 89069, GermanyState Key Laboratory of Automotive Safety & Energy, School of Vehicle and Mobility, Tsinghua University, Beijing, 115003, China; Corresponding author.Institute for Transport Studies, University of Natural Resources and Life Sciences (BOKU), 1190, Vienna, AustriaDepartment of Architecture and Civil Engineering, Chalmers University of Technology, 412 96, Goteborg, Sweden; Corresponding author.Reducing emissions from the transport sector is one of the crucial countermeasures for climate action. This study focuses on the optimization and emission analysis regarding the impacts of left-turn lanes on the emissions of mixed traffic flow (CO, HC, and NOx) with both heavy-duty vehicles (HDV) and light-duty vehicles (LDV) at urban intersections, combining high-resolution field emission data and simulation tools. Based on high-precision field emission data collected by Portable OBEAS-3000, this study first develops instantaneous emission models for HDV and LDV under various operating conditions. Then, a tailored model is formulated to determine the optimal left-lane length for mixed traffic. Afterward, we empirically validate the model and analyze the effect of the left-turn lane (before and after optimization) on the emissions at the intersections using the established emission models and VISSIM simulations. The proposed method can reduce CO, HC, and NOx emissions crossing intersections by around 30% compared to the original scenario. The proposed method significantly reduces average traffic delays after optimization by 16.67% (North), 21.09% (South), 14.61% (West), and 2.68% (East) in different entrance directions. The maximum queue lengths decrease by 79.42%, 39.09%, and 37.02% in different directions. Even though HDVs account for only a minor traffic volume, they contribute the most to CO, HC, and NOx emissions at the intersection. The optimality of the proposed method is validated through an enumeration process. Overall, the method provides useful guidance and design methods for traffic designers to alleviate traffic congestion and emissions at urban intersections by strengthening left-turn lanes and improving traffic efficiency.http://www.sciencedirect.com/science/article/pii/S2405844023034679Traffic emissionInstantaneous emission modelLeft-turn laneTraffic efficiency and simulation |
| spellingShingle | Jieyu Fan Aoyong Li Anugrah Ilahi Kun Gao Emission impacts of left-turn lane on light-heavy-duty mixed traffic in signalized intersections: Optimization and empirical analysis Heliyon Traffic emission Instantaneous emission model Left-turn lane Traffic efficiency and simulation |
| title | Emission impacts of left-turn lane on light-heavy-duty mixed traffic in signalized intersections: Optimization and empirical analysis |
| title_full | Emission impacts of left-turn lane on light-heavy-duty mixed traffic in signalized intersections: Optimization and empirical analysis |
| title_fullStr | Emission impacts of left-turn lane on light-heavy-duty mixed traffic in signalized intersections: Optimization and empirical analysis |
| title_full_unstemmed | Emission impacts of left-turn lane on light-heavy-duty mixed traffic in signalized intersections: Optimization and empirical analysis |
| title_short | Emission impacts of left-turn lane on light-heavy-duty mixed traffic in signalized intersections: Optimization and empirical analysis |
| title_sort | emission impacts of left turn lane on light heavy duty mixed traffic in signalized intersections optimization and empirical analysis |
| topic | Traffic emission Instantaneous emission model Left-turn lane Traffic efficiency and simulation |
| url | http://www.sciencedirect.com/science/article/pii/S2405844023034679 |
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