Jun 28, 2017 · We build a bus arrival time prediction system by using real-world trajectory dataset generated by 1000 buses in a period of 2 months.

This paper proposes a model for the real-time prediction of arrival times at bus stops. The proposed model is based on information about the current location ...

Finally, bus arrival time is predicted based on the path-section graph and real-time GPS information. Using a real-world trajectory dataset generated by 1000 ...

Mar 4, 2024 · This research introduces an innovative, AI-based, data-driven methodology for predicting bus arrival times at various transit points (stations), ...

This paper presents an improved approach to predict the public bus arrival time based on historical and real-time GPS data. After analyzing the components of ...

Various literatures have been surveyed which is used for prediction of bus arrival time and it is shown that real time prediction of arrival time is so much ...

The Kalman filter algorithm works conceptually as follows. The last three-day historical data of actual running times along a particular link at the instant k+1.

For bus transit times, an algorithm is proposed to use taxi speed data to recognize irregular bus trips and to predict them based on different weighted features ...

In this paper, we present an approach that predicts bus arrival time using historical bus GPS information and the real-time situation on the road. In this study ...

The proposed method only uses limited historical data and can predict arrival time at stops along a transit route. Ten days of data were collected from bus ...