2009Unpublished venueRequires access

Study on the Prediction Model of Bus Arrival Time

Jian Zhang, Yan Ling, Yin Han, Jingjing Zhang

Open publisher page 11 citations

Abstract

The Urban Public Transportation Information Service System, for the bus arrival time showed on the intelligent electronic station board, is designed to provide accurate and timely information which can help travelers choose transit lines and the shortest paths, can improve the travel efficiency and attract more potential travelers. However, the current bus arrival time prediction model under application can't achieve satisfactory results. This paper analyzes the technology components of the bus arrival time, and builds real-time dynamic models for each component. Finally, it adds up all the technology components of the bus arrival time, gets a much more accurate prediction model.

About this research paper

What this paper is about

The Urban Public Transportation Information Service System, for the bus arrival time showed on the intelligent electronic station board, is designed to provide accurate and timely information which can help travelers choose transit lines and the shortest paths, can improve the travel efficiency and attract more potential travelers. However, the current bus arrival time prediction model under application can't achieve satisfactory results. This paper analyzes the technology components of the bus arrival time, and builds real-time dynamic models for each component. Finally, it adds up all the technology components of the bus arrival time, gets a much more accurate prediction model.

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OpenAlex reports 11 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The Urban Public Transportation Information Service System, for the bus arrival time showed on the intelligent electronic station board, is designed to provide accurate and timely information which can help travelers choose transit lines and the shortest paths, can improve the travel efficiency and attract more potential travelers. However, the current bus arrival time prediction model under application can't achieve satisfactory results. This paper analyzes the technology components of the bus arrival time, and builds real-time dynamic models for each component. Finally, it adds up all the technology components of the bus arrival time, gets a much more accurate prediction model.

Key concepts: Arrival time, Public transport, Computer science, Component (thermodynamics), Automatic vehicle location, Travel time, Transit (satellite), Real-time computing

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