山东科学 ›› 2017, Vol. 30 ›› Issue (1): 82-88.doi: 10.3976/j.issn.1002-4026.2017.01.013

• 交通运输 • 上一篇    下一篇

基于百度地图应用程序接口的轨道交通生成预测

李晓峰,黄海南,李金海,许红   

  1. 1. 北京交通大学城市交通复杂系统理论与技术教育部重点实验室,北京 100044; 2. 福建农林大学交通与土木工程学院,福建 福州350002; 3. 北京城建设计发展集团股份有限公司交通研究中心,北京 100037
  • 收稿日期:2016-05-15 出版日期:2017-02-20 发布日期:2017-02-20
  • 通信作者: 黄海南(1983—),男,讲师,博士。E-mail:hhnan021@foxmail.com E-mail:hhnan021@foxmail.com
  • 作者简介:李晓峰(1990—),男,硕士研究生,研究方向为交通运输规划。
  • 基金资助:
    福建省中青年教师教育科研项目(JAT160167);福建农林大学校青年教师基金(2012xjj24)

A research on rail traffic generation forecasting based on BaiduMap API

LI Xiao-feng ,HUANG Hai-nan,LI Jin-hai ,XU Hong   

  1. 1. MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University,Beijing 100044,China; 2. College of Transportation and Civil Engineering, Fujian Agriculture and Forestry University,Fuzhou 350002, China; 3. TRC ,Beijing Urban Construction Design &Development Group Co., Ltd., Beijing 100037,China
  • Received:2016-05-15 Online:2017-02-20 Published:2017-02-20

摘要: 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。

关键词: 百度地图应用程序接口, 土地使用类别, 交通生成, 关注点, 轨道交通

Abstract: 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.

Key words: BaiduMap API, landuse patterns, trip generation, POI, rail transit

中图分类号: 

  • U491.1