Unified Occupancy on a Public Transport Network through Combination of AFC and APC Data

Autor:	Dib, Amir, Cherrier, Noëlie, Graive, Martin, Rérolle, Baptiste, Schmitt, Eglantine
Rok vydání:	2024
Předmět:	Computer Science - Computers and Society Computer Science - Computational Engineering Finance and Science Computer Science - Machine Learning Statistics - Applications
Druh dokumentu:	Working Paper
DOI:	10.1109/ITSC57777.2023.10422418
Popis:	In a transport network, the onboard occupancy is key for gaining insights into travelers' habits and adjusting the offer. Traditionally, operators have relied on field studies to evaluate ridership of a typical workday. However, automated fare collection (AFC) and automatic passenger counting (APC) data, which provide complete temporal coverage, are often available but underexploited. It should be noted, however, that each data source comes with its own biases: AFC data may not account for fraud, while not all vehicles are equipped with APC systems. This paper introduces the unified occupancy method, a geostatistical model to extrapolate occupancy to every course of a public transportation network by combining AFC and APC data with partial coverage. Unified occupancy completes missing APC information for courses on lines where other courses have APC measures, as well as for courses on lines where no APC data is available at all. The accuracy of this method is evaluated on real data from several public transportation networks in France. Comment: Accepted in this version to ITSC 2023
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2403.05546 Zobrazit plný text záznamu View this record from Arxiv