Estimating the Quality of Service of Underground Transit Systems with Cellular Network Data

Authors

Vincent Aguiléra
Sylvain Allio
Vincent Benezech
François Combes
Chloé Milion

Document Type

Journal Article

Publication Date

2012

Subject Area

mode - subway/metro, place - europe, technology - passenger information, operations - performance

Keywords

Quality of service, transit system, cellular phone data

Abstract

This paper shows that the particular conditions in which a cellular phone network is operated underground can make it capture a significant part of particular events like entries in tunnels. With the help of the mobile network operator Orange, some experiments have been conducted in Paris’ underground transit system. Results show that good estimates of dynamic quantities, such as travel time, passenger flow and train occupancy, can be derived from cellular data. Those estimates are used to compute two quality of service indicators: the interstation passenger density per train, and the passenger delay between an origin and a destination.

Rights

Permission to publish the abstract has been given by Elsevier, copyright remains with them.

Comments

Procedia – Social and Behavioural Sciences Home Page:

http://www.sciencedirect.com/science/journal/18770428

Recommended Citation

Aguiléra, V., Allio, S., Benezech, V., Combes, F., & Milion, C. (2012). Estimating the Quality of Service of Underground Transit Systems with Cellular Network Data. Procedia - Social and Behavioral Sciences, Vol. 48, pp. 2262-2271.