城市轨道交通乘客出行路径精准分析算法研究

Research on Accurate Analysis Algorithm of Urban Rail Transit Passenger Travel Path

乘客准确出行路径的计算是精准客流分析的关键,而既有技术方法在路径计算准确性及出行链颗粒度、时效性和实现成本方面还没有形成完整的解决方案。基于人车耦合的技术理念,构建不同换乘次数出行类型的时间序列,并通过同时段不同出行路径重叠过程耗时的相互替代,实现对出行路径详细时间序列的准确计算,进而推算出乘客准确出行路径。基于大数据技术,实现对海量乘客出行路径的快速分析计算,能够以低成本方式为以客流为驱动的精准化行车组织、客运组织和个性化乘客服务等应用场景提供关键数据支撑。

Accurate passenger travel path calculation is the key to accurate passenger flow analysis,however existing technical methods have not yet formed a complete solution in terms of path calculation accuracy,travel chain granularity,timeliness and implementation cost.Based on the technical concept of man-vehicle coupling,time series of different interchange trip types are constructed,and by replacing time consumption in the overlapping process of different travel paths during the same time periods,the accurate calculation of the detailed time series of travel paths is realized,and the accurate passenger travel paths are deduced.Based on big data technology,rapid analysis and calculation of mass passenger travel paths can be realized,and key data support for application scenarios such as passenger flow driven precise traffic organization,passenger transport organization and personalized passenger service in a low-cost way can be provided.