Accurate operation management method and system for public transport vehicle

Abstract

The invention discloses a bus operation accurate management method and system. The method comprises the steps of operation information collection, arrival passenger flow number calculation, operation time calculation, data updating and calibration, subsequent arrival time calculation, automatic bus scheduling plan adjustment and real-time data updating of on-line vehicles. According to the invention, bus real-time Gps, traffic light waiting, road network congestion degree, platform intelligent monitoring, passenger flow estimation and vehicle intelligent scheduling information are integrated, corresponding combination, analysis and processing are carried out, the bus operation time can be accurately predicted through calculation of the number of passenger flow arriving at the station, and thus accurate and intelligent management of bus operation is realized. Compared with traditional prediction based on a vehicle real-time GPS and a road network congestion degree, the method improves the accuracy and comprehensiveness of a calculation result, facilitates the operation management of buses, and meets the development of intelligent transportation.

Description

technical field [0001] The invention relates to the technical field of intelligent public transport applications, in particular to a method and system for precise operation management of public transport vehicles based on an intelligent transport network. Background technique [0002] The bus passenger flow is of great significance to the intelligent transportation system. Through accurate quantitative data, we can understand the passenger flow of each time period, each bus, each station, etc., and use these data to give full play to the advantages of the dispatching system and make public resources more accessible. Full use. In the current bus vehicle operation time and scheduling can not be accurately predicted, based on the vehicle's real-time GPS and road network congestion can not be accurately predicted, it is difficult to predict the speed of the destination platform, and the current bus operation, especially the arrival of The inaccurate presetting of the station ti...

AI Technical Summary

Problems solved by technology

The current bus operation time and scheduling schedule cannot be accurately predicted, based on vehicle real-time GPS and road network congestion cannot be accurately predicted, and the speed between it and the destination platform is difficult to predict, and at the current stage when the bus is in operation, especially when it arrives The inaccurate station time presets lead to large errors, which is not only inconvenient for the operation and management of buses, but also brings certain troubles to the people waiting at the platform. Therefore, a more effective solution is needed to control the full time of bus operations. Forecast for improvement

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