Abstract: The Heng Mountain(or Nanyue)is well-known at home and abroad for its cultureandscenery. In order to study the optimization of bus routes in scenic spots, genetic algorithm is used to solve the proposed scheduling model. Firstly, according to the existing public transport resources in scenic spots and the travel rules of tourists, three optimization objectives are constructed: the cost of public transport, waiting for tourists and loss of tourists. Then, to realize both the interests of the passenger and the operating company, the model is further improvedby using the linear weighting method. Finally, the vehicle scheduling scheme is solved by using the research data based on Matlab. It shows that the model optimizes the tourism traffic organization of Nanyue scenic spot, meets tourists’ reasonable demand, improves its tourism management and service, and truly enjoys the famous brand of “Shou Yue Independent Show” in Nanyue scenic spot.

Key words: anyue scenic area, public transit, travel law, bus dispatch, genetic algorithm

摘要： 南岳衡山(以下简称南岳)以“外秀于林,内秀于文”驰名中外,作为风景名胜区近几年游客人数不断攀升。本文利用遗传算法对景区内公交线路的调度模型进行求解。首先,根据景区现有的公共交通资源和旅客的出行规律,构建了以旅游公交营运成本、游客等待成本和游客流失成本三方面优化目标的模型;然后,使用线性加权方法实现对旅客与营运公司双方利益兼顾,进一步完善模型;最后,利用Matlab对实地调研数据的车辆调度方案求解。表明该模型改善了南岳景区旅游交通,满足游客的合理需求,提升了旅游公司经营策略,真正成为“寿岳独秀”的知名品牌。

关键词: 南岳景区, 公共交通, 出行规律, 公交调度, 遗传算法