Lidé na fakultě
doc. Ing. Drahomír Schmidt, Ph.D.

2025, Neural Network World, 35 (6), p. 101-122), ISSN 2336-4335

Public transport systems face increasing pressure to improve reliability under constrained infrastructure and limited investment capacity. Small-scale bus priority interventions represent a cost-effective tool for improving operational performance, yet their implementation requires reliable identification and prioritisation of delay-generating locations. This paper presents a fully automated method for spatial identification and quantification of delay formation in bus transport systems based exclusively on high-resolution AVL data. The proposed approach reconstructs vehicle trajectories using a high spatial resolution vectorized road network and map-matching, enabling continuous delay estimation along the entire route rather than only at stops. Referential travel times are derived empirically from historical data using a percentile-based approach, allowing delay quantification independently of static timetables and accommodating heterogeneous operating conditions. The method supports aggregation across multiple trips, lines, and corridors, providing a system-wide view of delay accumulation and its infrastructure-related causes. The methodology is demonstrated on regional bus services. An experimental evaluation of machine learning models as substitutes for referential journeys indicates that, given the available data structure, AI-based approaches fail to achieve meaningful predictive performance and cannot reliably replace the proposed statistical reference. The presented method offers a scalable and robust decision-support tool for prioritizing bus priority interventions and improving public transport reliability using operational data already available to most transport authorities.

Článek v periodiku excerpovaném SCI Expanded

2017

Předmětem projektu bylo zpracování Bezpečnostní inspekce na vybraných dálnicích a silnici I. třídy ve Středočeském kraji. Konkrétně se jedná o úseky dálnic D4 a D7 a silnice I/4, které jsou ve správě ŘSD ČR Závod Praha.

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