Αποτελέσματα Αναζήτησης
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.
27 Μαρ 2023 · 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.
12 Απρ 2023 · This study attempts to propose a data-driven approach for bus arrival time estimation and reliability prediction in urban transportation systems. The key concepts that characterize the reliability of a bus system include the predicted arrival time and the actual arrival time [30].
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.
12 Ιουν 2015 · Greyhound, the largest provider of intercity bus transportation in North America, has announced the launch of BusTracker— a new real-time GPS tracking system that allows customers to see where their bus is, and when it will arrive at their destination.
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.
12 Μαρ 2021 · Thus, this study used an RNN to predict the arrival time of a bus. A route of a bus has 30–40 bus stations in general. Arrival time prediction includes the time prediction of each station along the way from the starting to the finishing stop, the arrival times at subsequent stations, and the arrival time of the nearest vehicle to a station.
