Transit OD matrix estimation using smartcard data: Recent developments and future research challenges

E Hussain, A Bhaskar, E Chung - Transportation Research Part C …, 2021 - Elsevier
In public transport, smartcards are primarily used for automatic fare collection purpose,
which in turn generate massive data. During the last two decades, a tremendous amount of …

Clustering smart card data for urban mobility analysis

K Mohamed, E Côme, L Oukhellou… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Smart card data gathered by automated fare collection (AFC) systems are valuable
resources for studying urban mobility. In this paper, we propose two approaches to cluster …

Analyzing year-to-year changes in public transport passenger behaviour using smart card data

AS Briand, E Côme, M Trépanier… - … Research Part C …, 2017 - Elsevier
In recent years, there has been increased interest in using completely anonymized data from
smart card collection systems to better understand the behavioural habits of public transport …

The potential of public transport smart card data

M Bagchi, PR White - Transport Policy, 2005 - Elsevier
The potential role of smart card data for travel behaviour analysis is considered. Case
studies of smart card experience in Britain are examined, of the pensioner concessionary …

Validating and improving public transport origin–destination estimation algorithm using smart card fare data

A Alsger, B Assemi, M Mesbah, L Ferreira - Transportation Research Part C …, 2016 - Elsevier
Smart card data are increasingly used for transit network planning, passengers' behaviour
analysis and network demand forecasting. Public transport origin–destination (O–D) …

Examining the spatial–temporal dynamics of bus passenger travel behaviour using smart card data and the flow-comap

S Tao, D Rohde, J Corcoran - Journal of Transport Geography, 2014 - Elsevier
Over the past two decades, smart card data have received increasing interest from transport
researchers as a new source of data for travel behaviour investigation. Collected by smart …

Automated inference of linked transit journeys in London using fare-transaction and vehicle location data

JB Gordon, HN Koutsopoulos… - Transportation …, 2013 - journals.sagepub.com
Urban public transit providers historically have planned and managed their networks and
services with little knowledge of their customers' travel patterns. Although ticket gates and …

Detection of activities of public transport users by analyzing smart card data

F Devillaine, M Munizaga… - Transportation Research …, 2012 - journals.sagepub.com
During the past decade, a significant amount of research has been dedicated to the use of
smart card data for various purposes. A method is presented for the detection and estimation …

Analyzing multimodal public transport journeys in London with smart card fare payment data

C Seaborn, J Attanucci… - Transportation research …, 2009 - journals.sagepub.com
This paper contributes to the emerging literature on the application of smart card fare
payment data to public transportation planning. The research objective is to identify and …

Short & long term forecasting of multimodal transport passenger flows with machine learning methods

F Toqué, M Khouadjia, E Come… - 2017 IEEE 20th …, 2017 - ieeexplore.ieee.org
Estimating and forecasting travel demand is one of the major applications for smart card
data analysis. Forecasting can be useful in order to plan both services and trips. Depending …