Research On Passenger Flow Monitoring Technology Of Integrated Traffic Terminal Based On Mobile Signaling

The integrated transportation hub is an important node in the urban transportation system,and it is very important to grasp the change of the passenger flow scale and the stranded traffic volume in the real time to avoid the risk of crowded crowds and realize the precise dispatching of the hub capacity.Traditional passenger monitoring techniques include infrared monitoring,stress monitoring and video surveillance.Although the accuracy of monitoring is high,there are shortcomings such as low application cost,high hardware cost and complicated installation and maintenance.Mobile phone signaling data is favored by users because of its wide coverage,high real-time and low cost.With the development of communication technology,the data quality is expected to be further improved,and the data research potential is huge.Based on the mobile phone signaling data of Chongqing Mobile,this paper analyzes the traffic flow composition and monitoring function of the research area,and constructs the passenger flow monitoring index system of the integrated transportation hub,and builds the integrated traffic hub passenger flow Monitoring technology framework.Firstly,according to the coverage of the base station and the distribution of the functional area of the integrated transportation hub,the monitoring area of the Chongqing North Station is delineated.According to the basic principle of the flow identification,the current number,the current rate of change,the accumulated time The number of people appear throughout the day,foreign provinces into the source of the statistical calculation method.Secondly,based on the analysis of the population attributes and the characteristics of travel-activity characteristics of resident population,the recognition rules of resident population are determined according to the situation of 24-hour shift system in the resident population of integrated transportation hub.Based on the characteristics of the signaling data,a resident population identification method based on the cumulative length of stay in the user station is proposed.This method can not only identify the resident population in multiple scenes,but also can be used for job distribution research.Thirdly,on the basis of the deep analysis of the characteristics of railway passenger travel mode and the characteristics of mobile phone signaling data,a method of railway passenger travel mode identification based on feature point matching and interval speed matching is proposed.Time and storage space resource occupancy rate.Based on the method of railway passenger travel identification,the rules of calculating the accumulated passenger flow and accumulated passenger flow are designed.Finally,according to the long-term accumulated data of passenger flow monitoring index of Chongqing North Railway Station,the passenger characteristics of major holiday in Chongqing North Station in 2016 were analyzed.This paper takes the Chongqing North Railway Station as an example,and systematically studies the passenger flow monitoring technology of the integrated traffic hub based on mobile phone signaling.It puts forward the identification and statistical methods of the traffic flow,the resident population identification method,the passenger travel mode identification method,Based on the long-term accumulation data,the passenger characteristics of Chongqing Day North Station are analyzed.The research results provide a new idea for the passenger traffic monitoring of the integrated transportation hub,which provides the data support for the management department’s real-time monitoring and capacity scheduling.