Vincent, Erwan (Université de Rennes), Miklos, Zoltan (University of Rennes), Malinowski, Simon (Rennes University)

Commercial Speed Impact Factors Identification for a Public Urban Bus Transport Network

Scheduled for presentation during the Video Session "On-Demand Video Presentations" (VP-VP), Saturday, November 22, 2025, 08:00−18:00, On-Demand Platform

2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC), November 18-21, 2025, Gold Coast, Australia

This information is tentative and subject to change. Compiled on April 2, 2026

Abstract

Public transport operators of large cities seek continually to improve the quality of their services. Specifically they are interested to understand the different factors that can impact the commercial speed of the public bus services. In this work we propose a methodology that can identify such factors from collected service operational data using machine learning and data analysis techniques. These analytical methods are employed to identify and quantify the variables influencing commercial speed. Our methodology can help the operators and planners of public bus transit networks to make more informed decisions. With enough historical data on the network's operation, our methodology can also be applied to networks of different size. We demonstrate our methodology in the case of the city Rennes, France, and based on the data from the local operator Keolis.