Journal
AUTOMATION IN CONSTRUCTION
Volume 18, Issue 8, Pages 1034-1044Publisher
ELSEVIER
DOI: 10.1016/j.autcon.2009.05.004
Keywords
Work zone; Traffic impact; Road user behavior; Ant colony optimization; Microscopic simulation
Funding
- National Science Council of Taiwan, ROC [97-2221-E-197-022]
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Many different types of construction projects set up work zones on roads. Especially in urban areas, lane closures as a result of work zones have a considerable impact on local traffic. However, for a construction project that consists of several work zones and several work crews, the traffic impact may be improved by appropriate scheduling. Therefore, this paper proposed a scheduling model based on the route-changing behavior of road users. The proposed model calculates the traffic delay of vehicles by microscopic simulation, and applies team ant colony optimization to search for a near-optimal schedule. The project planner then ensures that the contractor executes the activities according to the near-optimal schedule. The proposed model is applied to schedule a sewer system construction project in a city. The results of our study indicate that with our proposed model the total traffic delay is reduced by 11.1% when compared with a schedule proposed by the project planner. Published by Elsevier B.V.
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