Investigating impacts of various operational conditions on fuel consumption and stop penalty at signalized intersections
When optimizing signals relevant traffic agencies adopt policies to either improve mobility performance measures (e.g., delay and stops), environmental aspects, or safety of signalized intersections. One of such policies, mainly implemented through so-called Performance Index (PI), advocates that re...
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2022-12-01
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| Series: | International Journal of Transportation Science and Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2046043021000757 |
| _version_ | 1827881519061925888 |
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| author | Suhaib Alshayeb Aleksandar Stevanovic Justin R. Effinger |
| author_facet | Suhaib Alshayeb Aleksandar Stevanovic Justin R. Effinger |
| author_sort | Suhaib Alshayeb |
| collection | DOAJ |
| description | When optimizing signals relevant traffic agencies adopt policies to either improve mobility performance measures (e.g., delay and stops), environmental aspects, or safety of signalized intersections. One of such policies, mainly implemented through so-called Performance Index (PI), advocates that reduction of excess fuel consumption (FC) should be achieved by minimizing the PI - a linear combination of delays and stops. The key factor of such a PI is the stop penalty “K”, which represents a weighting factor, or a stop equivalency measured in seconds of delay. In the contemporary signal optimization practice, this K is given a constant value (e.g., 10 seconds) and it is not recognized as a parameter that is dependent on various operational conditions. This study challenges that common view and presents a methodology to derive the K factor and investigate impacts of various operational conditions (e.g., cruising speed) on the K value. The study uses traffic simulation model coupled with a modal fuel consumption and emission model to investigate second-by-second FC during stopping events at a signalized intersection. The experiments are performed on a hypothetical, yet realistic, intersection under several operational scenarios. The findings show that the K varies significantly with all the investigated operational conditions. More importantly, results indicate that the K factor should be much larger than used by current signal timing practices. The implications of these findings may lead to significant changes in current polices for signal timing optimization. Future research shall validate these findings with second-by-second vehicle trajectory and FC data from the field. |
| first_indexed | 2024-03-12T18:39:39Z |
| format | Article |
| id | doaj.art-2d0daeaa42314529b588c1de2404f6c6 |
| institution | Directory Open Access Journal |
| issn | 2046-0430 |
| language | English |
| last_indexed | 2024-03-12T18:39:39Z |
| publishDate | 2022-12-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | International Journal of Transportation Science and Technology |
| spelling | doaj.art-2d0daeaa42314529b588c1de2404f6c62023-08-02T07:52:30ZengKeAi Communications Co., Ltd.International Journal of Transportation Science and Technology2046-04302022-12-01114690710Investigating impacts of various operational conditions on fuel consumption and stop penalty at signalized intersectionsSuhaib Alshayeb0Aleksandar Stevanovic1Justin R. Effinger2Department of Civil and Environmental Engineering, University of Pittsburgh, Pittsburgh, PA, USA; Corresponding author.Department of Civil and Environmental Engineering, University of Pittsburgh, Pittsburgh, PA, USANoTraffic: Palo Alto, CA 94306, USAWhen optimizing signals relevant traffic agencies adopt policies to either improve mobility performance measures (e.g., delay and stops), environmental aspects, or safety of signalized intersections. One of such policies, mainly implemented through so-called Performance Index (PI), advocates that reduction of excess fuel consumption (FC) should be achieved by minimizing the PI - a linear combination of delays and stops. The key factor of such a PI is the stop penalty “K”, which represents a weighting factor, or a stop equivalency measured in seconds of delay. In the contemporary signal optimization practice, this K is given a constant value (e.g., 10 seconds) and it is not recognized as a parameter that is dependent on various operational conditions. This study challenges that common view and presents a methodology to derive the K factor and investigate impacts of various operational conditions (e.g., cruising speed) on the K value. The study uses traffic simulation model coupled with a modal fuel consumption and emission model to investigate second-by-second FC during stopping events at a signalized intersection. The experiments are performed on a hypothetical, yet realistic, intersection under several operational scenarios. The findings show that the K varies significantly with all the investigated operational conditions. More importantly, results indicate that the K factor should be much larger than used by current signal timing practices. The implications of these findings may lead to significant changes in current polices for signal timing optimization. Future research shall validate these findings with second-by-second vehicle trajectory and FC data from the field.http://www.sciencedirect.com/science/article/pii/S2046043021000757Fuel consumptionSignalized intersectionsStopsPerformance indexStop penalty |
| spellingShingle | Suhaib Alshayeb Aleksandar Stevanovic Justin R. Effinger Investigating impacts of various operational conditions on fuel consumption and stop penalty at signalized intersections International Journal of Transportation Science and Technology Fuel consumption Signalized intersections Stops Performance index Stop penalty |
| title | Investigating impacts of various operational conditions on fuel consumption and stop penalty at signalized intersections |
| title_full | Investigating impacts of various operational conditions on fuel consumption and stop penalty at signalized intersections |
| title_fullStr | Investigating impacts of various operational conditions on fuel consumption and stop penalty at signalized intersections |
| title_full_unstemmed | Investigating impacts of various operational conditions on fuel consumption and stop penalty at signalized intersections |
| title_short | Investigating impacts of various operational conditions on fuel consumption and stop penalty at signalized intersections |
| title_sort | investigating impacts of various operational conditions on fuel consumption and stop penalty at signalized intersections |
| topic | Fuel consumption Signalized intersections Stops Performance index Stop penalty |
| url | http://www.sciencedirect.com/science/article/pii/S2046043021000757 |
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