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It takes a GTFS-realtime vehicle positions feed as input and produces arrival predictions in a GTFS-realtime trip updates feed. TheTransitClock is an extended open source version of the project formally know as Transitime.
The Bus Arrival Time Prediction Project aims to improve the accuracy of bus arrival time predictions by considering drivers' behavior patterns. This README file provides an overview of the project, its goals, and the steps taken to achieve those goals. Project Goal.
GTFS-Real time feed that is updated continuously with operational vehicle information like the vehicle location, speed, next stop, occupancy status, the timestamp, vehicle speed, vehicle bearing, and the trip.
12 Απρ 2023 · The developed prediction method comprises two main parts: (1) a data analysis module to evaluate the travel time reliability of the bus services based on the AVL data; (2) prediction of bus arrival time using intelligent techniques.
28 Ιουν 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. Experiments show that our method can predict more accurate arrival time with less online computation than competing methods.
4 Μαρ 2024 · This research introduces an innovative, AI-based, data-driven methodology for predicting bus arrival times at various transit points (stations), offering a collective prediction for all bus lines within large metropolitan areas.
In this paper, we compare and evaluate a realtime bus arrival prediction system for short-distance (< 1km) bus stops using real time and publicly available online information, including bus location, weather, traffic status and passenger flow.
