Taxi and bus GPS (global position system) data-based bus running state discriminating method and application system

Abstract

The invention belongs to the field of an intelligent transportation technology, and provides a taxi and bus GPS (global position system) data-based bus running state discriminating method and application system. The whole system comprises two parts of a taxi and bus GPS real-time data acquisition system at the front end and a background core data processing system, wherein the taxi and bus GPS real-time data acquisition system at the front end provides real-time essential data for the background core data processing system; the system completes (1) data acquisition, (2) data pretreatment, (3) traffic parameter estimation and (4) bus running status discrimination. A historical database is used for analysis, a bus running status threshold is designated for each road section, the bus running status is discriminated according to the road section bus running speed output in real time by a traffic parameter estimation model, and the status is classified into three levels: smooth, amble and crowded. The bus data and taxi data are combined for analysis, and thus the quality of the data and the discrimination accuracy are improved.

Description

technical field [0001] The invention relates to a bus running state discrimination method based on urban road taxi GPS data and bus GPS data, and belongs to the technical field of intelligent transportation. Background technique [0002] In recent years, with the rapid development of social economy, the number of urban motor vehicles has increased rapidly, and the demand for urban traffic has continued to grow. Traffic congestion in many cities in China has become increasingly prominent. In order to alleviate traffic congestion and advocate green travel, many cities have introduced the concept of "transit city". The concept of "transit city" is very different from the traditional concept of bus travel. By introducing ITS technology, "transit city" gradually realizes the digitization, networking, integration and intelligence of bus travel. However, there are still big problems in the construction of a "transit city": the existing public transport information data itself has ...

AI Technical Summary

Problems solved by technology

However, there are still big problems in the construction of a "transit city": the existing public transport information data itself has major defects, such as the instability of data quality leading to the unreliability of the released results, and the long period of positioning data sending It is difficult to identify bus arrival and intersection stop information; the source of bus information is single and lacks the integration with real-time road information, resulting in inaccurate bus operating status discrimination results; the existing bus information system has low calculation efficiency and is difficult to Meet the needs of real-time operation status monitoring, etc.

These problems have seriously hindered the development of "transit city" and brought great difficulties to the advocacy of "green bus travel".

[0003] After searching the existing technical literature, it is found that there is no public report on the bus operation status discrimination technology using the global position system (Global Position System, GPS) data of taxis and buses (electric) vehicles

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