Short-Term Inbound and Outbound Passenger Flow Prediction for New Metro Stations Based on Clustering and Deep Learning

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Type of metro station</td><td class="align_center">Metro station</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Office class</td><td class="align_center">Xinnan station, Zhenlong station, Tiyuzhongxin station…</td></tr><tr><td class="align_left">Residential class</td><td class="align_center">Fengxia station, Zhishicheng station, Sanyuanli station…</td></tr><tr><td class="align_left">…</td><td class="align_center">…</td></tr><tr><td class="align_left">Comprehensive class</td><td class="align_center">Zhenlongbei station, Wushan station, Jiangnanxi station…</td></tr><tr><td class="align_left">Commercial class</td><td class="align_center">Wangcun station, Tianhegongyuan station…</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Clustering results of metro stations.</div>

Journal of Advanced Transportation

tab1

Table 1

Table 1: Short-Term Inbound and Outbound Passenger Flow Prediction for New Metro Stations Based on Clustering and Deep Learning 