摘要
以手机信令数据为基础,利用Python大数据挖掘技术,分析了合肥新桥国际机场旅客出行轨迹分布。以合肥市主城区为底图,通过地理信息系统划分了42个交通小区,计算了各交通小区客流需求规模。根据机场巴士特性,提出了线路覆盖率的优化目标,确定了线路里程和非直线系数等约束条件,建立了机场巴士线路优化模型。以"逐条布设、整体优化"的方式,规划了4条机场巴士路线,通过GIS缓冲区分析,计算了线路评价指标。结果显示,优化后路线覆盖率由31.9%提升为48.9%。
Based on the signaling data of mobile phone,this paper analyzes the passengers’trip spatial distribution of Hefei Xinqiao International Airport by using Python big data mining technology.Taking the main urban area of Hefei as the base map,42 traffic zones are divided by GIS,and the passenger flow demand scale of each traffic zone is calculated.According to the characteristics of airport bus,the optimization target of route coverage is proposed,and the constraints such as route mileage and non-linear coefficient are determined.Four airport bus routes are planned in the way of"one by one layout and overall optimization",and the route evaluation indexes are calculated through the analysis of GIS buffer zone.The results show that the coverage of the optimized route is increased from 31.9%to 48.9%.
作者
肖赟
徐满满
王志辉
XIAO Yun;XU Man-man;WANG Zhi-hui(School of Urban Construction and Transportation,Hefei University,Hefei 230601,China)
出处
《合肥学院学报（综合版）》
2020年第2期92-99,共8页
Journal of Hefei University：Comprehensive ED
基金
合肥学院人才基金项目(18-19RC02)
安徽省交通运输厅委托研究项目(2018FACN5338)资助。
关键词
手机信令数据
地理信息系统
机场巴士
线路优化
mobile signaling data
geographic information system
airport bus
route optimization
