کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
388520 | 660926 | 2011 | 11 صفحه PDF | دانلود رایگان |
The dynamic vehicle routing problems (DVRP) is an extension of vehicle routing problems (VRP) in order to consider possible variations of travel times in the network. In this research, a two-stage framework for solving dynamic vehicle routing problem is proposed. In the first stage, the sweep method is adopted in vehicle assignment. In the second stage, a tabu search algorithm is implemented to improve routes under real-time information. The framework is implemented in an object-oriented approach and possible benefit from real-time information is illustrated through numerical simulation. The simulation-assignment model, DynaTAIWAN is applied in numerical simulation to evaluate real-time routing strategies in a traffic network. Numerical experiments are conducted in a 50 Nodes Network and a Taichung City. The results show that positive benefits could be achieved through utilization of real-time information with careful design.
► The fleet management problem is explored in vehicle assignment and real-time route updating.
► The vehicle assignment is accomplished through a classical algorithm: the sweep method.
► The real-time updating algorithm is developed through tabu search algorithm to consider possible dynamic variations of link travel times.
► A simulation-assignment model, DynaTAIWAN, is applied to provide traffic simulation and assignment capabilities under mixed traffic flow conditions.
► The framework provides a practical tool for the evaluation of vehicle routing strategies under real-time information.
Journal: Expert Systems with Applications - Volume 38, Issue 10, 15 September 2011, Pages 12548–12558