Public transport passenger flow analysis system based on positioning and card swiping information

Abstract

The invention provides a public transport passenger flow analysis system based on positioning and card swiping information. According to the system, an innovative public transport passenger flow analysis working platform is established; an application system capable of performing statistical analysis and query on card swiping data of a whole group, each operation branch company, each line and each vehicle according to different dimensions and different time periods is constructed on the platform, and online transmission and sharing of information are realized by means of a basic network for public transportation information sharing; and the purpose of querying, analyzing and applying the data on different terminals is achieved. The system is designed according to the requirements of users; a public transport passenger flow statistical analysis method is simple to apply and accurate in result; a scientific basis is provided for optimization and adjustment of urban public transport; the popularization and use of the system are beneficial for traffic management departments and public transport enterprises to know the distribution characteristics of passenger flow and optimize and adjust a public transport network in time, and therefore, the operation efficiency of the public transport network is improved more effectively.

Description

technical field [0001] The invention relates to a bus passenger flow analysis system, in particular to a bus passenger flow analysis system based on positioning and swiping card information, and belongs to the technical field of bus passenger flow analysis. Background technique [0002] As cities continue to expand, the number of cities continues to grow, and the process of urbanization is also accelerating. The structure of urban transportation has changed significantly. The travel demand of urban residents has continued to rise, and the total amount of travel has also shown a trend of substantial growth. With the development of economy and society, the proportion of residents adopting motorized travel is increasing, which not only leads to increased urban traffic congestion, but also increases the pressure on energy consumption and environmental pollution. A scientific and reasonable transportation system is of great significance to the development of a city, and residents...

AI Technical Summary

Problems solved by technology

[0016] The second is the manual survey method of obtaining bus passenger flow data in the existing technology, which is mainly completed by people, which consumes a lot of manpower and financial resources. In addition to the organization and training of relevant personnel during the initial stage, the work of data collation and analysis after the investigation is completed is also very heavy, and it is difficult to ensure the quality of data through all manual processing, resulting in inaccurate data collected and analyzed;

[0017] The third is that the image discrimination method in the prior art obtains the video image in the bus, uses professional image discrimination software to analyze and process the video, analyzes the passenger information and their behavior of getting on and off the bus, and finally analyzes the number of passengers getting on and off the bus to form The final passenger flow data of each car, but the cost of image discrimination method for passenger flow analysis is high, it consumes a lot of material and financial resources, and its stability is very poor, so it is not recommended to use;

[0018] Fourth, the prior art bus passenger flow analysis scale is small, the function is single, and the accuracy is poor, so it cannot be applied to bus dispatching operations: the passenger flow data cannot be analyzed in order to study and grasp the passenger traffic cycle of each season, month, week, and day and night hours on the line. The law of change, unable to grasp the changing law of passenger flow, resulting in the departure interval and number of vehicles not being able to adapt to the change of passenger flow in a timely manner; it cannot be applied to the internal management of public transport, and it cannot scientifically evaluate the operation status of the line network and reasonably formulate operating indicators and operation plans; it cannot be applied Due to the planning and layout of public transport, it is impossible to grasp the passenger flow of the bus, various indicators related to passenger flow, such as the average full load rate, OD distribution, transfer rate, network efficiency and other important data, unable to predict the passenger flow, and unable to calculate the passenger flow The mid-to-long-term trend of changes, providing data support for bus planning such as bus route direction and bus station layout

At the same time, the existing technology is only suitable for small-scale passenger flow statistics, and the accuracy is not high, and the portability is poor. Generally, it is only used in a specific small area. less defects

Images