Investigating the impacts of connected vehicle technology on the flow of trucks at the busiest Canada-U.S. border crossings
Land-border crossings between Canada and the United States facilitate the movement of approximately 59 % of the goods traded between the two countries. Consequently, these border facilities experience heavy truck traffic daily. While connected vehicle technology have attracted attention in recent ye...
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Language: | English |
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Elsevier
2025-01-01
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Series: | Transportation Research Interdisciplinary Perspectives |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2590198224002963 |
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author | Hanna Maoh Sidra Anis |
author_facet | Hanna Maoh Sidra Anis |
author_sort | Hanna Maoh |
collection | DOAJ |
description | Land-border crossings between Canada and the United States facilitate the movement of approximately 59 % of the goods traded between the two countries. Consequently, these border facilities experience heavy truck traffic daily. While connected vehicle technology have attracted attention in recent years, there has been no attempts to assess its impacts on truck traffic performance at international land borders. This paper addresses the issue by developing and applying a microscopic traffic simulation model for connected trucks. Scenarios depicting the movement of trucks between Canada and the U.S. through the two busiest border crossings (i.e., Windsor and Sarnia), are simulated in the presence of V2V and V2I technologies with the help of a dynamic traffic assignment. The simulation results suggest that truck traffic becomes more streamlined with up to 7 % of all trucks switching to the Sarnia crossing under a 100 % V2V scenario when a delay incident is present on the corridor leading to Windsor. Also, average time delay at the Windsor crossing under extended delay conditions spanning over a course of 8 h at this crossing is reduced by 30 % (i.e., delay dropped from 5 h to 3.5 h) when V2I technology is utilized. |
format | Article |
id | doaj-art-89b83ae85efc44729d4560cc94bdefa4 |
institution | Kabale University |
issn | 2590-1982 |
language | English |
publishDate | 2025-01-01 |
publisher | Elsevier |
record_format | Article |
series | Transportation Research Interdisciplinary Perspectives |
spelling | doaj-art-89b83ae85efc44729d4560cc94bdefa42025-02-09T05:01:14ZengElsevierTransportation Research Interdisciplinary Perspectives2590-19822025-01-0129101310Investigating the impacts of connected vehicle technology on the flow of trucks at the busiest Canada-U.S. border crossingsHanna Maoh0Sidra Anis1Corresponding author.; Department of Civil and Environmental Engineering / Cross Border Institute, University of Windsor, Windsor, Ontario N9B 3P4, CanadaDepartment of Civil and Environmental Engineering / Cross Border Institute, University of Windsor, Windsor, Ontario N9B 3P4, CanadaLand-border crossings between Canada and the United States facilitate the movement of approximately 59 % of the goods traded between the two countries. Consequently, these border facilities experience heavy truck traffic daily. While connected vehicle technology have attracted attention in recent years, there has been no attempts to assess its impacts on truck traffic performance at international land borders. This paper addresses the issue by developing and applying a microscopic traffic simulation model for connected trucks. Scenarios depicting the movement of trucks between Canada and the U.S. through the two busiest border crossings (i.e., Windsor and Sarnia), are simulated in the presence of V2V and V2I technologies with the help of a dynamic traffic assignment. The simulation results suggest that truck traffic becomes more streamlined with up to 7 % of all trucks switching to the Sarnia crossing under a 100 % V2V scenario when a delay incident is present on the corridor leading to Windsor. Also, average time delay at the Windsor crossing under extended delay conditions spanning over a course of 8 h at this crossing is reduced by 30 % (i.e., delay dropped from 5 h to 3.5 h) when V2I technology is utilized.http://www.sciencedirect.com/science/article/pii/S2590198224002963Cross borderTrucksV2VV2IConnected vehiclesSimulation |
spellingShingle | Hanna Maoh Sidra Anis Investigating the impacts of connected vehicle technology on the flow of trucks at the busiest Canada-U.S. border crossings Transportation Research Interdisciplinary Perspectives Cross border Trucks V2V V2I Connected vehicles Simulation |
title | Investigating the impacts of connected vehicle technology on the flow of trucks at the busiest Canada-U.S. border crossings |
title_full | Investigating the impacts of connected vehicle technology on the flow of trucks at the busiest Canada-U.S. border crossings |
title_fullStr | Investigating the impacts of connected vehicle technology on the flow of trucks at the busiest Canada-U.S. border crossings |
title_full_unstemmed | Investigating the impacts of connected vehicle technology on the flow of trucks at the busiest Canada-U.S. border crossings |
title_short | Investigating the impacts of connected vehicle technology on the flow of trucks at the busiest Canada-U.S. border crossings |
title_sort | investigating the impacts of connected vehicle technology on the flow of trucks at the busiest canada u s border crossings |
topic | Cross border Trucks V2V V2I Connected vehicles Simulation |
url | http://www.sciencedirect.com/science/article/pii/S2590198224002963 |
work_keys_str_mv | AT hannamaoh investigatingtheimpactsofconnectedvehicletechnologyontheflowoftrucksatthebusiestcanadausbordercrossings AT sidraanis investigatingtheimpactsofconnectedvehicletechnologyontheflowoftrucksatthebusiestcanadausbordercrossings |