Title
AllAboard: visual exploration of cellphone mobility data to optimise public transport
Abstract
The deep penetration of mobile phones offers cities the ability to opportunistically monitor citizens’ mobility and use datadriven insights to better plan and manage services. With large scale data on mobility patterns, operators can move away from the costly, mostly survey based, transportation planning processes, to a more data-centric view, that places the instrumented user at the center of development. In this framework, using mobile phone data to perform transit analysis and optimization represents a new frontier with significant societal impact, especially in developing countries. In this paper we present AllAboard, an intelligent tool that analyses cellphone data to help city authorities in visually exploring urban mobility and optimizing public transport. This is performed within a self contained tool, as opposed to the current solutions which rely on a combination of several distinct tools for analysis, reporting, optimisation and planning. An interactive user interface allows transit operators to visually explore the travel demand in both space and time, correlate it with the transit network, and evaluate the quality of service that a transit network provides to the citizens at very fine grain. Operators can visually test scenarios for transit network improvements, and compare the expected impact on the travellers’ experience. The system has been tested using real telecommunication data for the city of Abidjan, Ivory Coast, and evaluated from a data mining, optimisation and user prospective.
Year
DOI
Venue
2014
10.1109/TVCG.2015.2440259
IEEE transactions on visualization and computer graphics
Keywords
Field
DocType
better plan,analyses cellphone data,public transport,visual exploration,interactive user interface,transit network improvement,transit operator,citizensfi mobility,real telecommunication data,data mining,city authority,cellphone mobility data,transit network
Mobile sensing,Leverage (finance),Computer science,Computer security,Transport engineering,Quality of service,Public transport,Scenario testing,User interface,Multimedia
Conference
Volume
Issue
ISSN
22
2
1941-0506
Citations 
PageRank 
References 
10
0.49
25
Authors
6
Name
Order
Citations
PageRank
Giusy Di Lorenzo157434.54
Marco Luca Sbodio222320.52
Francesco Calabrese3100.49
Michele Berlingerio451028.92
Rahul Nair5393.05
Fabio Pinelli697250.96