以北京市行政区内全路网交通系统为研究对象,以GIS(Geographic Information System,地理信息系统)交通流大数据为基础,对VAN AERDE交通流模型进行了分析研究和对比标定。分道路等级、工作日节假日、季节性对城市道路交通流特性进行了对...以北京市行政区内全路网交通系统为研究对象,以GIS(Geographic Information System,地理信息系统)交通流大数据为基础,对VAN AERDE交通流模型进行了分析研究和对比标定。分道路等级、工作日节假日、季节性对城市道路交通流特性进行了对比分析,为进一步进行北京市行驶工况和汽车用户出行规律研究奠定基础。展开更多
Metro system has experienced the global rapid rise over the past decades. However,few studies have paid attention to the evolution in system usage with the network expanding. The paper's main objectives are to ana...Metro system has experienced the global rapid rise over the past decades. However,few studies have paid attention to the evolution in system usage with the network expanding. The paper's main objectives are to analyze passenger flow characteristics and evaluate travel time reliability for the Nanjing Metro network by visualizing the smart card data of April 2014,April 2015 and April 2016. We performed visualization techniques and comparative analyses to examine the changes in system usage between before and after the system expansion. Specifically,workdays,holidays and weekends were specially segmented for analysis.Results showed that workdays had obvious morning and evening peak hours due to daily commuting,while no obvious peak hours existed in weekends and holidays and the daily traffic was evenly distributed. Besides,some metro stations had a serious directional imbalance,especially during the morning and evening peak hours of workdays. Serious unreliability occurred in morning peaks on workdays and the reliability of new lines was relatively low,meanwhile,new stations had negative effects on exiting stations in terms of reliability. Monitoring the evolution of system usage over years enables the identification of system performance and can serve as an input for improving the metro system quality.展开更多
文摘以北京市行政区内全路网交通系统为研究对象,以GIS(Geographic Information System,地理信息系统)交通流大数据为基础,对VAN AERDE交通流模型进行了分析研究和对比标定。分道路等级、工作日节假日、季节性对城市道路交通流特性进行了对比分析,为进一步进行北京市行驶工况和汽车用户出行规律研究奠定基础。
基金Sponsored by Projects of International Cooperation and Exchange of the National Natural Science Foundation of China(Grant No.51561135003)Key Project of National Natural Science Foundation of China(Grant No.51338003)
文摘Metro system has experienced the global rapid rise over the past decades. However,few studies have paid attention to the evolution in system usage with the network expanding. The paper's main objectives are to analyze passenger flow characteristics and evaluate travel time reliability for the Nanjing Metro network by visualizing the smart card data of April 2014,April 2015 and April 2016. We performed visualization techniques and comparative analyses to examine the changes in system usage between before and after the system expansion. Specifically,workdays,holidays and weekends were specially segmented for analysis.Results showed that workdays had obvious morning and evening peak hours due to daily commuting,while no obvious peak hours existed in weekends and holidays and the daily traffic was evenly distributed. Besides,some metro stations had a serious directional imbalance,especially during the morning and evening peak hours of workdays. Serious unreliability occurred in morning peaks on workdays and the reliability of new lines was relatively low,meanwhile,new stations had negative effects on exiting stations in terms of reliability. Monitoring the evolution of system usage over years enables the identification of system performance and can serve as an input for improving the metro system quality.
