Bus arrival time prediction system and method based on multi-user cooperation

Abstract

The invention provides a bus arrival time prediction system and method based on multi-user cooperation. The system comprises a plurality of pieces of intelligent mobile equipment and a background server. The method comprises the following steps: a plurality of users position the geographic positions of the users in real time through the intelligent mobile equipment; the background server performs positioning on the basis of a bus route; the background server performs arrival time prediction; the background server performs arrival time prediction result correction; an arrival time prediction result is displayed on the intelligent mobile equipment in real time, and the current relative positions of the users on the bus route are displayed to the users in real time; when the users arrive at target bus stations, corresponding intelligent mobile equipment stops submitting the geographic position information to the background server. The intelligent mobile terminal is adopted instead of professional equipment, so that the implementation cost is lowered; data is acquired for analysis in a multi-user cooperation way in the running process of a bus, and the bus arrival time is dynamically predicted in real time, so that the system and the method have the characteristics of easiness in use and protection of user privacy.

Description

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AI Technical Summary

Benefits of technology

This technology uses an intelligence device called Intelligent Mobile Terminal (IML) that helps reduce ongoing expenses by providing accurate traffic updates without requiring expensive hardware or software components like sensors. It can gather important data from different sources at once while it's being driven along roads quickly overcomes these issues with traditional methods such as collection devices used alone. Additionally, this system allows passengers to receive their own personalized route recommendations based upon factors like current weather patterns and speed limits. Overall, IML offers efficient ways to improve transportation efficiency and provide convenient services for people who want them more reliable navigation experience.

Problems solved by technology

This patented technical problem addressed in this patents relates to improving the efficiency and effectiveness of smart transportations networks (SCTN) while addressing issues like congestion caused by overlapping or interruptions between multiple stations during peak hours. Current solutions require expensive infrastructure upgrades and involve complex operations.

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