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- W632736580 abstract "In this paper, the authors address freight management in large, congested urban settings. Congestion creates a substantial variation in travel time (speeds) during morning peak and evening peak periods. Urban route designs that ignore these significant variations are often found to be inefficient or even infeasible within a congested traffic environment. This limitation may lead to delays, higher operational costs, and inferior customer service. To take account of the dynamics of traffic conditions, the proposed modeling framework includes an underlying dynamic network traffic simulation-assignment (DTA) model which is able to compute time-dependent shortest paths (TDSP) and simulate individual vehicles on a more realistic representation of the urban road network elements, including signalization, ramp metering, and other operational controls. An intuitive and efficient heuristic solution algorithm is proposed, which combines the classical k-opt exchanges to improve the solution and a procedure to reduce the number of vehicles out for service. No parameter tuning is required and no random choice is made. The integrated modeling framework is capable of addressing time-dependent vehicle routing problems (TDVRP) of practical sizes on a real world urban network, demonstrated here on the Chicago area network, with problem instances of up to 500 customers with TDSP updated at 10-minute intervals." @default.
- W632736580 created "2016-06-24" @default.
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- W632736580 date "2013-01-01" @default.
- W632736580 modified "2023-09-24" @default.
- W632736580 title "City Logistics: Freight Management with Time-Dependent Travel Times and Application to Large-Scale Networks" @default.
- W632736580 hasPublicationYear "2013" @default.
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