Αποτελέσματα Αναζήτησης
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 · 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.
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.
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.
1 Νοε 2021 · To maintain the stability and punctuality of bus systems, an accurate forecast of arrival time is essential to devise control strategies to prevent bus bunching especially under congested traffic conditions.
In this paper, we present a novel bus arrival time predic-tion approach based on real-time and real-world historical GPS trajectories of buses. In our approach, bus trajectories are firstly aggregated and mined in the cloud to discover some knowledge.
1 Σεπ 2020 · A comparison of predictions of bus arrival times at the bus stop and the actual arrival time was performed for all 14 bus stops along the line. The fewest predictions were compared for bus stop P1 (11,031) in Maribor (MB) and the most for the last bus stop (P24) in Ljubljana (LJ) (63,721).
