A Method for Automatically Generating Route Direction of Bus Vehicles

Abstract

The invention relates to a method for automatically generating a bus line direction based on bus big data and algorithm research and construction, and belongs to the technical field of intelligent transportation systems. A method for generating the direction of a bus route, comprising the following steps: S1, establishing a bus dynamic operation and site information database, at least including: bus positioning data and site information data; S2, pre-setting the bus positioning data and site information data Processing, removing abnormal data and redundant data in the bus positioning data and station information data, and grouping and sorting the bus positioning data and station information data; S3, eliminating sparse points of interfering lines and offset bus lines; S4. Draw the route between two bus stops on a certain bus route, and then connect the routes between the two bus stops according to the order and direction of the buses to form a completed bus route.

Description

technical field [0001] The invention relates to a method for automatically generating a bus line direction based on bus big data and algorithm research and construction, and belongs to the technical field of intelligent transportation systems. Background technique [0002] The slow and unreliable operation of urban ground buses is an important reason for the continuous decline of bus passenger flow in various cities and the lack of attractiveness of buses. On the other hand, bus operating costs and subsidies are increasing. Therefore, improving bus service quality and operating efficiency is a major domestic issue. Problems faced by cities in general. In recent years, mega-cities such as Shanghai have proposed to improve the level of refinement of urban management, and to make more use of information technologies such as the Internet, big data, and artificial intelligence to promote innovations in urban governance systems, models, and methods, and to improve urban governance...

AI Technical Summary

Problems solved by technology

[0004] 1. In terms of practical application, the vehicle positioning data of a single shift cannot fully describe the situation of the entire line. For a single shift, there will be shortcomings in many road sections. The existing methods need to Artificially select other shifts to supplement the blank area of ​​the line

This will take a lot of time and labor costs, and is not applicable to the needs of actual projects

[0005] 2. In terms of eliminating interference information, the vehicle’s driving route actually belongs to route a, but the vehicle positioning data shows route b. The existing method is to determine the correct route through human visual judgment and eliminate errors lines, this method has a certain degree of subjectivity, and its accuracy cannot be guaranteed for some complex lines, and it is also difficult to determine its starting point

On the other hand, in the process of collecting data, the positioning equipment sometimes produces offset points and discrete points. The existing method is also to artificially judge the rationality of the vehicle positioning data points and delete the unreasonable data points.

This also does not apply to practical application scenarios

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