Advanced traveler information systems （ATIS） can not only improve drivers＇ accessibility to the more accurate route travel time information, but also can improve drivers＇ adaptability to the stochastic network cap...Advanced traveler information systems （ATIS） can not only improve drivers＇ accessibility to the more accurate route travel time information, but also can improve drivers＇ adaptability to the stochastic network capacity degradations. In this paper, a mixed stochastic user equilibrium model was proposed to describe the interactive route choice behaviors between ATIS equipped and unequipped drivers on a degradable transport network. In the proposed model the information accessibility of equipped drivers was reflected by lower degree of uncertainty in their stochastic equilibrium flow distributions, and their behavioral adaptability was captured by multiple equilibrium behaviors over the stochastic network state set. The mixed equilibrium model was formulated as a fixed point problem defined in the mixed route flows, and its solution was achieved by executing an iterative algorithm. Numerical experiments were provided to verify the properties of the mixed network equilibrium model and the efficiency of the iterative algorithm.展开更多
文章对异车型混合集送的辆路径问题(Vehicle Routing Problem with heterogeneous fleet,backhaul and mixed-load,VRPHBM)进行研究,提出了一种基于多属性标签的蚁群系统算法(Multi-Label based Ant Colony System简称MLACS)。该算法利...文章对异车型混合集送的辆路径问题(Vehicle Routing Problem with heterogeneous fleet,backhaul and mixed-load,VRPHBM)进行研究,提出了一种基于多属性标签的蚁群系统算法(Multi-Label based Ant Colony System简称MLACS)。该算法利用面向对象理念,分别对客户、车辆及其行驶路径构建多属性标签,再通过蚁群算法的搜索规则对客户和车辆标签进行匹配,从而得出满意的车辆行驶路径。通过Solomon标准及其扩展算例和实际案例的验证表明,MLACS具有快速、灵活和稳定等特点,能够很好地解决VRPTW、VRPHBM以及多限制条件的实际应用问题。与本文列出的研究同类型问题文献的其他几种算法相比,MLACS算法在运算时间以及计算结果上明显具有优势,是求解该类问题的有效算法。展开更多
基金Projects(51378119,51578150)supported by the National Natural Science Foundation of China
文摘Advanced traveler information systems （ATIS） can not only improve drivers＇ accessibility to the more accurate route travel time information, but also can improve drivers＇ adaptability to the stochastic network capacity degradations. In this paper, a mixed stochastic user equilibrium model was proposed to describe the interactive route choice behaviors between ATIS equipped and unequipped drivers on a degradable transport network. In the proposed model the information accessibility of equipped drivers was reflected by lower degree of uncertainty in their stochastic equilibrium flow distributions, and their behavioral adaptability was captured by multiple equilibrium behaviors over the stochastic network state set. The mixed equilibrium model was formulated as a fixed point problem defined in the mixed route flows, and its solution was achieved by executing an iterative algorithm. Numerical experiments were provided to verify the properties of the mixed network equilibrium model and the efficiency of the iterative algorithm.
文摘文章对异车型混合集送的辆路径问题(Vehicle Routing Problem with heterogeneous fleet,backhaul and mixed-load,VRPHBM)进行研究,提出了一种基于多属性标签的蚁群系统算法(Multi-Label based Ant Colony System简称MLACS)。该算法利用面向对象理念,分别对客户、车辆及其行驶路径构建多属性标签,再通过蚁群算法的搜索规则对客户和车辆标签进行匹配,从而得出满意的车辆行驶路径。通过Solomon标准及其扩展算例和实际案例的验证表明,MLACS具有快速、灵活和稳定等特点,能够很好地解决VRPTW、VRPHBM以及多限制条件的实际应用问题。与本文列出的研究同类型问题文献的其他几种算法相比,MLACS算法在运算时间以及计算结果上明显具有优势,是求解该类问题的有效算法。
基金Supported by the Guizhou Province Natural Science Foundation of China([2011]2093)the Natural Scientific Research Foundation of Guizhou Provincial Education Department((2012)058)
