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以自驾游为代表的旅游活动正在成为全球经济发展的重要动力之一,如何优化旅游路线以便为广大旅客提供更加舒适的自驾体验日益重要.主要研究全国5A景区旅游路线规划问题.首先分析当前城市居民的假期次数与时间要求,综合时间、路程和费用最优建立综合模型.然后收集景区、路况和费用数据基于遗传算法和Matlab2011a编程求解,得出全国多个城市出发的全国5A景区旅游路线规划图和详细行程.最后根据研究结果,提出建立旅游可持续发展评价指标体系,对旅游爱好者提供旅游建议,对旅游相关部门给出政策建议.
The tourism activities represented by traveling by car are becoming one of the most important driving forces in the global economic development and it is increasingly important to optimize the tourist routes in order to provide a more comfortable self-driving experience for the majority of tourists.It mainly studies the planning of tourist routes in 5A scenic spots in China. The number of holidays and time requirements of residents, comprehensive time, distance and cost optimization to establish a comprehensive model.Then collect scenic area, traffic and cost data based on genetic algorithm and Matlab2011a programming solution, draw a number of cities starting a number of national 5A scenic tourist route planning Finally, according to the research results, it is proposed to set up an index system of evaluation of sustainable development of tourism, provide tourism suggestions to tourism enthusiasts and give policy suggestions to tourism related departments.