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In this paper we will present a dynamic strategic traffic routing algorithm to optimize for minimum travel time and energy consumption in urban traffic. To achieve a global optimization of all current and planned vehicle routes the algorithm works with the data fusion of real-time traffic information and an individual potential function of the road segments. With this algorithm it is possible to route...
Based on the description of dynamic vehicle routing and scheduling problem (DVRP), a vehicle-dispatching system with variable travel times was designed using advanced information systems of intelligent transportation systems in urban areas. The system consists of offline dispatching module, online dispatching module, information module, data base, forecasted module mainly. In offline dispatching module,...
This paper is focused on the Dynamic Vehicle Routing Problem with Time Windows (DVRPTW) in the context of real-time traffic information. The travel times are based on a time-dependent model in which the travel speeds are step functions. This model is enriched with an exponential smoothing function able to calculate the forecasted speed. This new model of travel times is used by on-line genetic algorithm...
In this paper, a dynamic vehicle routing problem with time windows (DVRPTW) was developed in the context of real-time traffic information. The objective of the problem is to minimize the travel time of the vehicles based on a time-dependent model in which the travel speeds are step functions. In order to calculate the forecasted speed, this model is enriched with an exponential smoothing function...
The real-time decision problems play a more and more important role in many areas such as the logistic distribution. This paper is focused on the Dynamic Vehicle Routing Problem with Time Windows (DVRPTW) in the context of real-time traffic information. The travel times are based on a time-dependent model in which the travel speeds are step functions. This model is enriched with an exponential smoothing...
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