%0 Journal Article
%T 桂林市旅游大巴运力动态调度方法研究<br>Research on the Dynamic Dispatching Method of the Transport Capacity of the Tourist Bus in Guilin
%A 张金灿
%A 李文勇
%J Open Journal of Transportation Technologies
%P 311-321
%@ 2326-344X
%D 2020
%I Hans Publishing
%R 10.12677/OJTT.2020.94038
%X 本文以桂林市旅游调查为基础，对目前桂林市包车旅游现状及问题进行了分析和总结，针对游客出行特征和旅游大巴调度特点进行了分析并提出了基于游客出行特征及旅游大巴调度特点的旅游大巴运力调度优化策略。以满足旅客出行需求和降低旅游大巴运营成本为目标，设计两阶段的调度模型。第一阶段利用遗传算法对模型进行求解，得到静态调度的路径规划结果；第二阶段利用大邻域搜索算法处理动态需求，实现旅游大巴运力动态调度。以桂林市为例完成仿真实验，验证了本文所设计运力调度模型及算法在满足游客出行需求的同时提高了运输效率，降低了车辆的运输成本。本文研究认为两阶段的旅游大巴运力动态调度方法不仅能够满足旅客出行需求，提高车辆运输效率，降低车辆运输成本，还能促进旅游产业的精品化升级和智慧旅游的建设。<br />
Based on the tourism survey of Guilin, this paper analyzes and summarizes the current situation and problems of Chartered bus tourism in Guilin, analyzes the travel characteristics of tourists and the scheduling characteristics of tourist buses, and puts forward the optimization strategy of the capacity scheduling of tourist buses based on the travel characteristics of tourists and the scheduling characteristics of tourist buses. In order to meet the travel needs of passengers and reduce the operating cost of tourist buses, a two-stage scheduling model is designed. In the first stage, genetic algorithm is used to solve the model to get the path planning results of static scheduling; in the second stage, the large neighborhood search algorithm is used to deal with the dynamic demand to achieve the dynamic scheduling of tourism bus capacity. Taking Guilin as an example to complete the simulation experiment, it is verified that the traffic capacity scheduling model and algorithm designed in this paper can not only meet the travel needs of tourists, but also improve the transportation efficiency and reduce the transportation cost of vehicles. This paper considers that the two-stage dynamic scheduling method will not only meet the travel needs of passengers, improve the efficiency of vehicle transportation, reduce the cost of vehicle transportation, but also promote the upgrading of tourism industry and the construction of intelligent tourism.
%K 旅游大巴，运力调度，路径优化，遗传算法<br>Tourism Bus
%K Capacity Scheduling
%K Path Optimization
%K Genetic Algorithm
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=36581