Abstract:
Aiming at the problems of low operational efficiency and low coverage in the late-night bus routes in China’s big cities,this paper introduces a bus route evaluation model and Dijkstra algorithm model considering the regional equilibrium,and proposes an improved scheme for late-night bus lines in the city.Taking the late-night bus network in Shanghai as an example,the late-night mobile demand display module in urban areas,the late-night bus network evaluation module in urban areas and the new late-night bus network design module are researched to realize the integrated design of evaluation to optimization.By establishing an effective evaluation and optimization system of urban public transportation network,the key technologies of mobile data application in urban public transportation network optimization are discussed.Optimization results show that the improved scheme of late-night bus network basically covers all the demand for late-night mobile and taxi mobile data high,compared with the existing late-night bus lines,the scheme to meets the late-night travel needs in Shanghai.
Key words:
mobile big data,
bus line network,
regional equilibrium,
Dijkstra algorithm,
optimization system
摘要： 针对当前我国大城市深夜公交路线普遍存在运营效率及覆盖范围低等问题,引入考虑区域均衡性的公交线路评价模型和迪杰斯特拉算法模型,提出一种城市深夜公交线路改进方案。以上海市深夜公交线网为例,对城市深夜移动需求量显示模块、城市既有深夜公交线网评价模块和新的深夜公交线网设计模块进行研究,实现评价到优化的一体化设计。通过建立有效的城市公交线网评价及优化体系,探讨移动数据在城市公交线网优化中应用的关键技术。优化结果表明,改进方案的深夜公交线网基本覆盖了所有的深夜移动需求量和出租车移动数据量高的地方,与既有的深夜公交线路相比,该方案公交线路更能满足上海市民深夜出行的需求。
关键词:
移动大数据,
公交线网,
区域均衡性,
迪杰斯特拉算法,
优化系统
CLC Number: