Flexible Choice Strategy of Fuzzy Vehicle Routing in Urban Traffic under Uncertainty
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摘要: 基于有限理性的思想,通过引入决策者主观偏好的概念,阐述了给定时间约束下车辆模糊路径的柔性选择策略;建立了该问题的模糊机会规划模型,并给出了一种启发式算法.以最小化剩余旅行距离为目标,用随机模拟方法探讨了决策者主观偏好值P*对最终目标的影响.结果表明,约束时间一定时,在特定的路网中,存在最优的P*值.Abstract: Based on the hypothesis of limited reason,a flexible strategy of dynamic vehicle routing problem with fuzzy travel time was presented through introducing the concept of decision-maker’s preference.A model was built for the flexible choice of vehicle routes with a certain departure time,and a heuristic algorithm was proposed.In addition,the influence of the decision-maker’s preference on the final objective of the flexible choice was discussed using the method of stochastic simulation.The result indicates that there is the optimal value of P* in a given transportation network under time constraint.
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Key words:
- urban traffic /
- fuzzy vehicle routing /
- flexible choice /
- decision-maker’s preference /
- simulation
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