虹桥枢纽WiFi嗅探客流量监测系统研究与实现
|
摘要
上海虹桥枢纽西交通中心位置特殊,客流情况复杂,无法运用传统方法有效解决客流量监测问题。为此,创新性地选择WiFi嗅探方法进行客流量监测,解决了捕获终端信息、数据传输、海量数据分析和处理、数据扩样等一系列实际问题。给出WiFi嗅探客流监测系统在上海虹桥枢纽西交通中心的具体实现方案,同时将系统监测客流量和人工统计客流量进行对比,证实了系统的可靠性。该系统部署以来,经受了多次大客流考验,目前运行良好,持续提供反映区域运行情况和拥挤程度的客流监测数据。
The traditional method can′ t effectively monitor the passenger flow of the West Traffic Center of Shanghai Hongqiao Transportation Hub due to its special location and complicated passenger flow. Therefore,the WiFi sniffing method is innovatively chosen in this paper to monitor the passenger flow,and solve a series of practical problems such as terminal information capture,data transmission,massive data analysis and processing,and data expansion. The specific implementation scheme of WiFi sniffing passenger flow monitoring system used in West Traffic Center of Shanghai Hongqiao Transportation Hub is given. The passenger flow values obtained by the monitoring system and artificial statistics are compared to verify the system stability. Since the deployment of the system,the system has experienced the tests of several times of large passenger flow,still operated in good condition,and continuously provided the passenger flow monitoring data reflecting the regional operation situation and congestion level.
The traditional method can′ t effectively monitor the passenger flow of the West Traffic Center of Shanghai Hongqiao Transportation Hub due to its special location and complicated passenger flow. Therefore,the WiFi sniffing method is innovatively chosen in this paper to monitor the passenger flow,and solve a series of practical problems such as terminal information capture,data transmission,massive data analysis and processing,and data expansion. The specific implementation scheme of WiFi sniffing passenger flow monitoring system used in West Traffic Center of Shanghai Hongqiao Transportation Hub is given. The passenger flow values obtained by the monitoring system and artificial statistics are compared to verify the system stability. Since the deployment of the system,the system has experienced the tests of several times of large passenger flow,still operated in good condition,and continuously provided the passenger flow monitoring data reflecting the regional operation situation and congestion level.
引文
[1] CHEN Xueming,LIN Lin. The node-place analysis on the″hub-tropolis″urban form:the case of Shanghai Hongqiao Air-rail Hub[J]. Habitat International,2015,49(6):445-453.
[2]康政阳.基于票务信息的成都地铁客流实时监测系统开发[D].成都:西南交通大学,2017.KANG Zhengyang. Development of real-time monitoring system for passenger flow in Chengdu Metro based on ticket informa-tion[D]. Chengdu:Southwest Jiaotong University,2017.
[3]章玉.手机信令数据在交通枢纽客流监测中的应用:以重庆市为例[J].交通运输研究,2017,3(2):24-30.ZHANG Yu. Application of cell phone signaling data in moni-toring passenger flow of transport hub:a case study of Chong-qing[J]. Transport research,2017,3(2):24-30.
[4]刘敬禹.基于视频的客流检测与分析算法研究及其在交通枢纽中的应用[D].北京:北京交通大学,2014.LIU Jingyu. Video based passenger flow detection and analysis algorithms and their in application transport hub[D]. Beijing:Beijing Jiaotong University,2014.
[5]赵飞飞,金彦亮,熊勇.基于WiFi嗅探的感知系统研究[J].电子测量技术,2016,39(10):108-113.ZHAO Feifei,JIN Yanliang,XIONG Yong. Sensing system based on WiFi probing[J]. Electronic measurement technolo-gy,2016,39(10):108-113.
[6] ACUNA V,KUMBHAR A,VATTAPPARAMBAN E,et al. Lo-calization of WiFi devices using probe requests captured at un-manned aerial vehicles[C]//2017 IEEE Wireless Communica-tions & Networking Conference. San Francisco:IEEE,2017:1-6.
[7]赵飞飞,金彦亮,熊勇.基于WiFi设备的区域人员密度检测概率研究[J].计算机应用,2016,36(6):1751-1756.ZHAO Feifei,JIN Yanliang,XIONG Yong. Detection probabi-lity research of regional staff density based on WiFi devices[J].Journal of computer applications,2016,36(6):1751-1756.
[8]孔令强,李迎春.智能家居门锁网关配置工具的设计与实现[J].电子测量技术,2017,40(9):10-13.KONG Lingqiang,LI Yingchun. Design and implementation of smart home lock′s gateway configuration tool[J]. Electronic measurement technology,2017,40(9):10-13.
[9] FUKUZAKI Y,MOCHIZUKI M,MURAO K,et al. A pedes-trian flow analysis system using WiFi packet sensors to a real environment[C]//2014 ACM International Joint Conference on Pervasive & Ubiquitous Computing.[S.l.]:ACM,2014:721-730.
[10]郝维来,白洁.基于RSSI的煤矿井下人员定位系统研究[J].现代电子技术,2016,39(4):48-50.HAO Weilai,BAI Jie. Research of underground coal mine personnel positioning system based on RSSI[J]. Modern elec-tronics technique,2016,39(4):48-50.
[11]杜远坤,王磊.基于物联网的无线实时定位系统的设计与实现[J].现代电子技术,2016,39(24):79-82.DU Yuankun,WANG Lei. Design and implementation of wire-less real-time positioning system based on Internet of Things[J]. Modern electronics technique,2016,39(24):79-82.
[12]洪晓龙.基于刷卡数据的乌鲁木齐公交客流扩样方法研究[J].科技展望,2017,27(20):263-265.HONG Xiaolong. Research on expansion method for Urumqi bus passenger flow based on credit card data[J]. Technology outlook,2017,27(20):263-265.
[2]康政阳.基于票务信息的成都地铁客流实时监测系统开发[D].成都:西南交通大学,2017.KANG Zhengyang. Development of real-time monitoring system for passenger flow in Chengdu Metro based on ticket informa-tion[D]. Chengdu:Southwest Jiaotong University,2017.
[3]章玉.手机信令数据在交通枢纽客流监测中的应用:以重庆市为例[J].交通运输研究,2017,3(2):24-30.ZHANG Yu. Application of cell phone signaling data in moni-toring passenger flow of transport hub:a case study of Chong-qing[J]. Transport research,2017,3(2):24-30.
[4]刘敬禹.基于视频的客流检测与分析算法研究及其在交通枢纽中的应用[D].北京:北京交通大学,2014.LIU Jingyu. Video based passenger flow detection and analysis algorithms and their in application transport hub[D]. Beijing:Beijing Jiaotong University,2014.
[5]赵飞飞,金彦亮,熊勇.基于WiFi嗅探的感知系统研究[J].电子测量技术,2016,39(10):108-113.ZHAO Feifei,JIN Yanliang,XIONG Yong. Sensing system based on WiFi probing[J]. Electronic measurement technolo-gy,2016,39(10):108-113.
[6] ACUNA V,KUMBHAR A,VATTAPPARAMBAN E,et al. Lo-calization of WiFi devices using probe requests captured at un-manned aerial vehicles[C]//2017 IEEE Wireless Communica-tions & Networking Conference. San Francisco:IEEE,2017:1-6.
[7]赵飞飞,金彦亮,熊勇.基于WiFi设备的区域人员密度检测概率研究[J].计算机应用,2016,36(6):1751-1756.ZHAO Feifei,JIN Yanliang,XIONG Yong. Detection probabi-lity research of regional staff density based on WiFi devices[J].Journal of computer applications,2016,36(6):1751-1756.
[8]孔令强,李迎春.智能家居门锁网关配置工具的设计与实现[J].电子测量技术,2017,40(9):10-13.KONG Lingqiang,LI Yingchun. Design and implementation of smart home lock′s gateway configuration tool[J]. Electronic measurement technology,2017,40(9):10-13.
[9] FUKUZAKI Y,MOCHIZUKI M,MURAO K,et al. A pedes-trian flow analysis system using WiFi packet sensors to a real environment[C]//2014 ACM International Joint Conference on Pervasive & Ubiquitous Computing.[S.l.]:ACM,2014:721-730.
[10]郝维来,白洁.基于RSSI的煤矿井下人员定位系统研究[J].现代电子技术,2016,39(4):48-50.HAO Weilai,BAI Jie. Research of underground coal mine personnel positioning system based on RSSI[J]. Modern elec-tronics technique,2016,39(4):48-50.
[11]杜远坤,王磊.基于物联网的无线实时定位系统的设计与实现[J].现代电子技术,2016,39(24):79-82.DU Yuankun,WANG Lei. Design and implementation of wire-less real-time positioning system based on Internet of Things[J]. Modern electronics technique,2016,39(24):79-82.
[12]洪晓龙.基于刷卡数据的乌鲁木齐公交客流扩样方法研究[J].科技展望,2017,27(20):263-265.HONG Xiaolong. Research on expansion method for Urumqi bus passenger flow based on credit card data[J]. Technology outlook,2017,27(20):263-265.