A forecast method for station reach time in digital bus system

Abstract

The present invention provides a forecast method of the bus arrival time of a digital public transportation system that comprises at least one on-board information device mounted on a bus, at least one electronic bus station and an information management system. The forecast method of the bus arrival time includes three steps. Firstly, the electronic bus station sends bus arrival information to the information management system via a wireless communication network; secondly, after successfully obtaining the bus arrival information, the data processing unit of the information management system processes the bus arrival information; finally, the estimated time when the bus arrives every electronic bus station ahead is calculated, and arrival forecast information is generated and then sent to every electronic bus station ahead for display via the wireless communication network. The present invention combines the data of realtime road condition and historic statistics and dynamically obtains the time needed for an operating bus to reach every station, thus accurately forecasting the arrival time.

Description

technical field [0001] The present invention relates to a digital public transportation system, in particular to a vehicle arrival time forecasting method in a digital public transportation system using Dedicated Short Range Communication (DSRC: Dedicated Short Range Communication) technology. Background technique [0002] At present, public transport has become an indispensable part of people's lives, and the traffic situation has attracted more and more attention. As the main tool for urban residents to travel, buses have always been expected for their convenience and practicability. [0003] In the existing technology, most of the domestic public transport management systems still use the mode and equipment of more than ten years ago, and basically adopt the manual operation mode of "scheduled departure, two stuck points", which cannot meet the needs of current urban traffic . [0004] The existing relatively prominent contradictory factor is the lack of an interactive ...

AI Technical Summary

Problems solved by technology

[0007] Although the GPS system solves some problems in the prior art, the GPS system also has the following defects: especially when used in a high-rise environment, the signal is unstable, and it cannot be accurately measured due to the influence of transmission delay and canyon effect. Vehicle positioning, so it is impossible to accurately calculate the arrival time of the vehicle; due to the frequent interruption of the canyon effect, it will take a certain amount of time to synchronize after the interruption, resulting in system instability; the positioning accuracy is low, about tens of meters; the vehicle equipment needs to communicate frequently with the background management center , resulting in high operating costs

[0021] For drivers and passengers who are familiar with the road conditions in the above method, manual judgment is often due to automatic calculation

But the disadvantage is that it greatly increases the workload of the drivers and passengers; the requirements for the personal experience of the drivers and passengers are high, and it will fail when encountering new people or new routes

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