Generally, road characteristics (such as the longitudinal slope and pavement damage) have an important effect on logistics distribution path, not only the vehicle fuel economy and driving safety but also the benefits and efficiency of logistics companies. It is necessary to explore the influence of road characteristics on logistics distribution path planning. First, a road characteristics evaluation value is defined to quantify road characteristics. With the application of analytic hierarchy process (AHP), the road characteristics evaluation index system with three criteria and eleven indices was built, and then the calculation of the road characteristics evaluation value is proposed based on the fuzzy comprehensive evaluation method. Secondly, a mathematical model of logistics distribution path planning is proposed, in which road characteristics and distance are comprehensively considered. Thirdly, an adaptive genetic algorithm (AGA) is presented with customized crossover operator for the solution of the mathematical model. Finally, through simulation by a real example, the influences of road characteristics and distance on the optimal distribution path are discussed, and the results show the model considering the road characteristics and distance comprehensively achieves superior distribution paths to that considering the distance or road characteristics only.

中文翻译：

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考虑道路特征的城市区域物流配送路径规划

通常，道路特性（例如纵向坡度和人行道损坏）对物流配送路径具有重要影响，不仅影响车辆燃油经济性和驾驶安全，而且影响物流公司的收益和效率。有必要探索道路特性对物流配送路径规划的影响。首先，定义道路特性评估值以量化道路特性。运用层次分析法，建立了具有三个指标，十一个指标的道路特征评价指标体系，并提出了基于模糊综合评价方法的道路特征评价值的计算方法。其次，提出了物流配送路径规划的数学模型，综合考虑了道路特征和距离。第三，提出了带有定制交叉算子的自适应遗传算法，用于数学模型的求解。最后，通过实例仿真，讨论了道路特征和距离对最优分配路径的影响，结果表明，考虑道路特征和距离的模型综合获得了优于仅考虑距离或道路特征的分配路径。 。