To relieve traffic congestion in urban rail transit stations,a new identification method of crowded passenger flow based on automatic fare collection data is proposed.First,passenger travel characteristics are analyze...To relieve traffic congestion in urban rail transit stations,a new identification method of crowded passenger flow based on automatic fare collection data is proposed.First,passenger travel characteristics are analyzed by observing the temporal distribution of inflow passengers each hour and the spatial distribution concerning cross-section passenger flow.Secondly,the identification method of crowded passenger flow is proposed to calculate the threshold via the probability density function fitted by Matlab and classify the early-warning situation based on the threshold obtained.Finally,a case study of Xinjiekou station is conducted to prove the validity and practicability of the proposed method.Compared to the traditional methods,the proposed comprehensive method can remove defects such as efficiency and delay.Furthermore,the proposed method is suitable for other rail transit companies equipped with automatic fare collection systems.展开更多
轨道交通客流量影响因素是轨道交通方面研究的一个关注点,不同站点客流量的时空非平稳性被认为与站域建成环境有关。通过构建时空地理加权(geographically and temporally weighted regression,GTWR)模型,揭示了土地多样性、密度、站点...轨道交通客流量影响因素是轨道交通方面研究的一个关注点,不同站点客流量的时空非平稳性被认为与站域建成环境有关。通过构建时空地理加权(geographically and temporally weighted regression,GTWR)模型,揭示了土地多样性、密度、站点属性3个方面因素在时间和空间维度上对天津市轨道交通客流量的影响。结果表明:相较于传统的地理加权(geographically weighted regression,GWR)模型和最小二乘法(ordinary least squares,OLS)模型,GTWR具有更好的拟合优度;公交站点密度对轨道交通客流产生促进作用,尤其在工作日的早晚高峰时段和中心城区位置;市中心的商业设施在工作日晚高峰吸引更多的地铁乘客,而在近郊区它们在早高峰吸引更多的地铁乘客;人口密度促进轨道交通的客流量;充足的停车场设施数量可以吸引更多的轨道交通乘客。展开更多
量子保密通信技术在理论上具有不可破解性,相比于传统加密手段安全防护能力更强。根据城市轨道交通自动售检票(A F C)系统实际需求,结合A F C系统架构及网络传输方案,提出量子保密通信在自动售检票系统中的应用设计方案。通过在清分中...量子保密通信技术在理论上具有不可破解性,相比于传统加密手段安全防护能力更强。根据城市轨道交通自动售检票(A F C)系统实际需求,结合A F C系统架构及网络传输方案,提出量子保密通信在自动售检票系统中的应用设计方案。通过在清分中心、线路中心及车站分别部署量子安全设备,采用量子保密通信技术对A F C系统敏感信息进行加密传输,保证核心业务系统的数据传输安全,提升AFC系统的安全防护能力。此设计方案具备安全性高、对AFC系统影响小、实施难度小、可复制性强等特点,可以为其他各城市轨道交通A F C系统量子保密通信技术应用提供借鉴。展开更多
基金The National Key Research and Development Program of China(No.2016YFE0206800)
文摘To relieve traffic congestion in urban rail transit stations,a new identification method of crowded passenger flow based on automatic fare collection data is proposed.First,passenger travel characteristics are analyzed by observing the temporal distribution of inflow passengers each hour and the spatial distribution concerning cross-section passenger flow.Secondly,the identification method of crowded passenger flow is proposed to calculate the threshold via the probability density function fitted by Matlab and classify the early-warning situation based on the threshold obtained.Finally,a case study of Xinjiekou station is conducted to prove the validity and practicability of the proposed method.Compared to the traditional methods,the proposed comprehensive method can remove defects such as efficiency and delay.Furthermore,the proposed method is suitable for other rail transit companies equipped with automatic fare collection systems.
文摘轨道交通客流量影响因素是轨道交通方面研究的一个关注点,不同站点客流量的时空非平稳性被认为与站域建成环境有关。通过构建时空地理加权(geographically and temporally weighted regression,GTWR)模型,揭示了土地多样性、密度、站点属性3个方面因素在时间和空间维度上对天津市轨道交通客流量的影响。结果表明:相较于传统的地理加权(geographically weighted regression,GWR)模型和最小二乘法(ordinary least squares,OLS)模型,GTWR具有更好的拟合优度;公交站点密度对轨道交通客流产生促进作用,尤其在工作日的早晚高峰时段和中心城区位置;市中心的商业设施在工作日晚高峰吸引更多的地铁乘客,而在近郊区它们在早高峰吸引更多的地铁乘客;人口密度促进轨道交通的客流量;充足的停车场设施数量可以吸引更多的轨道交通乘客。
文摘量子保密通信技术在理论上具有不可破解性,相比于传统加密手段安全防护能力更强。根据城市轨道交通自动售检票(A F C)系统实际需求,结合A F C系统架构及网络传输方案,提出量子保密通信在自动售检票系统中的应用设计方案。通过在清分中心、线路中心及车站分别部署量子安全设备,采用量子保密通信技术对A F C系统敏感信息进行加密传输,保证核心业务系统的数据传输安全,提升AFC系统的安全防护能力。此设计方案具备安全性高、对AFC系统影响小、实施难度小、可复制性强等特点,可以为其他各城市轨道交通A F C系统量子保密通信技术应用提供借鉴。
