Optimizing scheduling of long-term highway work zone projects
The impacts of work zone activities can be summarized into the following types: safety impact (on both motorists and workers), mobility impact, economic considerations, environmental concerns, user cost as well as contractor’s maintenance cost. Various interest subjects may focus on different aspect...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2016-08-01
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| Series: | International Journal of Transportation Science and Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2046043016000046 |
| _version_ | 1797764761623986176 |
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| author | Linfeng Gong Wei Fan |
| author_facet | Linfeng Gong Wei Fan |
| author_sort | Linfeng Gong |
| collection | DOAJ |
| description | The impacts of work zone activities can be summarized into the following types: safety impact (on both motorists and workers), mobility impact, economic considerations, environmental concerns, user cost as well as contractor’s maintenance cost. Various interest subjects may focus on different aspects of the six areas identified above. In this study, the impacts of scheduling long-term work zone activities are analyzed from the perspective of traffic agencies and jurisdictions. A bi-level genetic algorithm (GA)-based optimization model is formulated to determine the optimal starting date of each work zone project. The upper-level subprogram minimizes the total travel time over the entire planning horizon, while the lower-level subprogram is a user equilibrium (UE) problem where all users try to find the route that minimizes their own travel time. The demand, and the number of work zones as well as their durations are assumed to be fixed and given a priori. The proposed GA model is applied to the Sioux Falls network, which has 76 links and 24 origin–destination (O–D) pairs. The results of the numerical example indicate that the proposed model can effectively identify the near-optimal solution of the long-term work zone scheduling problem. |
| first_indexed | 2024-03-12T20:00:23Z |
| format | Article |
| id | doaj.art-f2dc84d7e33c4009a67fad583b45af5e |
| institution | Directory Open Access Journal |
| issn | 2046-0430 |
| language | English |
| last_indexed | 2024-03-12T20:00:23Z |
| publishDate | 2016-08-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | International Journal of Transportation Science and Technology |
| spelling | doaj.art-f2dc84d7e33c4009a67fad583b45af5e2023-08-02T02:30:42ZengKeAi Communications Co., Ltd.International Journal of Transportation Science and Technology2046-04302016-08-0151172710.1016/j.ijtst.2016.06.003Optimizing scheduling of long-term highway work zone projectsLinfeng Gong0Wei Fan1Department of Civil and Environmental Engineering, The University of North Carolina at Charlotte, EPIC Building, Room 3366, 9201 University City Boulevard, Charlotte, NC 28223, United StatesDepartment of Civil and Environmental Engineering, The University of North Carolina at Charlotte, EPIC Building, Room 3261, 9201 University City Boulevard, Charlotte, NC 28223, United StatesThe impacts of work zone activities can be summarized into the following types: safety impact (on both motorists and workers), mobility impact, economic considerations, environmental concerns, user cost as well as contractor’s maintenance cost. Various interest subjects may focus on different aspects of the six areas identified above. In this study, the impacts of scheduling long-term work zone activities are analyzed from the perspective of traffic agencies and jurisdictions. A bi-level genetic algorithm (GA)-based optimization model is formulated to determine the optimal starting date of each work zone project. The upper-level subprogram minimizes the total travel time over the entire planning horizon, while the lower-level subprogram is a user equilibrium (UE) problem where all users try to find the route that minimizes their own travel time. The demand, and the number of work zones as well as their durations are assumed to be fixed and given a priori. The proposed GA model is applied to the Sioux Falls network, which has 76 links and 24 origin–destination (O–D) pairs. The results of the numerical example indicate that the proposed model can effectively identify the near-optimal solution of the long-term work zone scheduling problem.http://www.sciencedirect.com/science/article/pii/S2046043016000046Work zoneSchedulingOptimizationGenetic algorithmUser equilibrium |
| spellingShingle | Linfeng Gong Wei Fan Optimizing scheduling of long-term highway work zone projects International Journal of Transportation Science and Technology Work zone Scheduling Optimization Genetic algorithm User equilibrium |
| title | Optimizing scheduling of long-term highway work zone projects |
| title_full | Optimizing scheduling of long-term highway work zone projects |
| title_fullStr | Optimizing scheduling of long-term highway work zone projects |
| title_full_unstemmed | Optimizing scheduling of long-term highway work zone projects |
| title_short | Optimizing scheduling of long-term highway work zone projects |
| title_sort | optimizing scheduling of long term highway work zone projects |
| topic | Work zone Scheduling Optimization Genetic algorithm User equilibrium |
| url | http://www.sciencedirect.com/science/article/pii/S2046043016000046 |
| work_keys_str_mv | AT linfenggong optimizingschedulingoflongtermhighwayworkzoneprojects AT weifan optimizingschedulingoflongtermhighwayworkzoneprojects |