大数据的城市轨道交通客流预测方法分析

Analysis of Urban Rail Transit Passenger Flow Prediction Method Based on Big Data

在城市轨道交通运营管理工作中,客流预测一直是其中非常重要的一部分,因为准确的客流预测可以让交通运营管理中心提前部署运输资源,能够优化列车的开行方案,并且还可以减小客流压力,这些工作都可以节约运输资源,避免资源浪费的同时还能让交通运输行业产生更大的经济效益。信息技术的发展让交通客流的预测更为准确,特别是大数据时代的到来,更有利于预测人们个性化、多样化的出行行为,交通运营管理部门可以根据预测的结果开展工作,合理部署资源。

Passenger flow prediction has always been a very important part in the operation and management of urban rail transit.Because accurate passenger flow prediction can enable the transportation operation management center to deploy transportation resources in advance,optimize the train operation scheme,and reduce the passenger flow pressure,all of which can save transportation resources.These works can save transportation resources,avoid resource waste,and make the transportation industry produce greater economic benefits.The development of information technology makes the prediction of traffic flow more accurate,especially the arrival of the big data era,which is more conducive to predicting people's personalized and diversified initial behavior.The traffic operation management department can work according to the prediction results and reasonably deploy resources.