基于百度地图应用程序接口的轨道交通生成预测

基于百度地图应用程序接口,设计了收集辨识轨道交通站点范围内关注点的查询收集系统,实现了收集关注点信息自动化。通过优化交通小区单元化识别方法构建了出行预测模型,对A市某轨道交通沿线现状进行分析。研究结果表明,应用该方法对轨道新线进行短期的交通发生与吸引预测,有助于提高交通生成基础数据的收集效率和预测精度。

A research on rail traffic generation forecasting based on BaiduMap API

Based on BaiduMap API (application program interface), a query system was developed for collecting and identifying POI (point of interest) in the surrounding area of metro rail transit station, which realized the automatic collection of POI. By optimizing the traffic zone blocking method, a traffic generation forecasting model was constructed, which was used to analyze the status quo along an urban rail transit line in A City. The results show that this method is helpful to improve data collecting efficiency and accuracy of traffic generation forecasting when it’s applied to forecast the short term trip generation and trip attraction of a planning urban rail transit line.