基于SparkStreaming的车辆轨迹实时处理实现研究

Research on Real-time Processing of Vehicle Trajectory Based on SparkStreaming

城市的发展使得运营车辆日益增长,车辆调度愈发困难,传统系统无法满足现有众多车辆的监控调度与运营。该程序基于大数据流处理系统,实现了大批量的车辆信息监测和实时处理以及车辆的精细监控与轨迹回放。可用于网约车、公交车以及货运集团的调度中心进行实时监控和订单把控,以提高车辆调度的灵活性,达到最优调度、减少成本的效果。

With the development of the cities,the number of operating vehicles is increasing,and the vehicle scheduling is becoming more and more difficult.The traditional system cannot meet the requirements of the existing monitoring scheduling and operation of numerous vehicles.Based on the big data stream processing system,the program realizes a large number of vehicle information monitoring and real-time processing,as well as vehicle fine monitoring and track playback.It can be used for real-time monitoring and order control in the dispatching center of online car hailing,buses and freight groups,so as to improve the flexibility of vehicle scheduling,achieve optimal scheduling and reduce costs.