Overview of taxi database from viewpoint of usability for traffic model development: A case study for Budapest

Autor: Arpad Varga, Gyorgy Eigner, Miklos Mezei, Imre Felde, Levente Kovács
Rok vydání: 2017
Předmět:
Zdroj: SISY
DOI: 10.1109/sisy.2017.8080534
Popis: Forecasting and analyzing urban car traffic is an actual but still very complex problem. The modern car fleet handling IT systems designed for taxi and delivery service companies allows GPS coordinate data acquisition from large amount of vehicles for optimizing the ride and freight allocation. Since the database of these companies contains movement patterns belonging to multitude of vehicles, arise the question if these data, belonging to vehicles with special purpose, is suitable for representing the whole car traffic. To make the first step to answer this question, our case study utilizes the time-resolved GPS coordinate database of one of the largest taxi company in Budapest from year 2014.
Databáze: OpenAIRE