Bus passenger flow prediction method based on vehicle GPS and station wifi

Abstract

The invention provides a method for predicting the number of passengers on a bus based on vehicle-mounted GPS and site WiFi. The WiFi detection device arranged at the site detects the MAC address signal of a mobile terminal with a WiFi function near the site at a predetermined frequency, combined with the vehicle-mounted GPS system. The real-time position information of the bus is obtained, and the matching model of the detection time of passengers getting on and off the bus and the bus stop time are established, the interference data near the station is screened out, and the real-time passenger number when the bus leaves the station is accurately predicted; the present invention greatly reduces It reduces the amount of interference data, simplifies the data processing method and improves the accuracy of the data processing results, and accurately predicts the real-time number of passengers when the bus leaves the station; it can provide real-time bus congestion information for passengers waiting for the bus, and provide public travel and The organization and deployment of the urban traffic system, the optimization of the departure frequency, and the real-time monitoring of vehicle passenger flow provide key information references.

Description

technical field [0001] The invention relates to an intelligent traffic management method, in particular to a method for predicting the number of passengers on a bus based on vehicle-mounted GPS positioning and site WiFi. Background technique [0002] With the continuous development of communication technology, urban Wi-Fi coverage continues to increase, and the proportion of smartphone users has also increased significantly. The popularity of urban Wi-Fi coverage and smart phones provides new methods and approaches for the realization of intelligent transportation, and has important applications in real-time information monitoring of urban traffic and optimization of urban traffic organization. [0003] Most of the existing bus real-time passenger number prediction technologies are based on the combination of bus IC card and alighting pedal data processing method, respectively counting the number of passengers getting on and off the bus according to the IC card swiping data ...

AI Technical Summary

Problems solved by technology

[0004] Purpose of the invention: In order to solve the problem of insufficient accuracy of the existing methods for predicting the number of passengers carried by buses in real time, the present invention proposes a vehicle-based GPS system that can greatly reduce the impact of interference data, simplify data processing methods, and improve the accuracy of data processing results. Prediction method of bus real-time passenger number based on location and station WiFi detection

Images