Abstract: To solve the problem of reminder services in the public transport system without the real-time data of city bus, this paper, puts forward the solution which integrates open source bus routes data with the mobile sensing data. Firstly, the optimal bus site automatic generation algorithm base of Haversine formula, and the bus site monitoring and alert algorithm based on heartbeat mechanism are designed. Secondly, by optimizing the distance formula, geographical distance calculation time complexity is reduced, therefore, the performance of the algorithm is enhanced. Finally, the intelligent public transport APP is implemented by using mobile cross platform APPCan.

Key words: mobile cross platform, mobile sensing, intelligent urban public transport system, Haversine formula

摘要： 为了解决在没有城市实时公交车数据的情况下实现智慧公交实时报站与到站提醒服务，提出利用开源的公交线路信息与移动终端的感知数据融合的解决方案。设计了基于Haversine的最近站点自动生成算法和基于心跳包机制的站点实时监测与到站提醒算法；通过优化距离计算公式降低地理空间距离计算的时间复杂度，从而提升算法的性能；最后利用移动跨平台框架APPCan实现智慧公交APP。

关键词: 移动跨平台, 移动感知, 智慧城市公交, Haversine公式