Traffic state estimation on highway: A comprehensive survey

T Seo, AM Bayen, T Kusakabe, Y Asakura - Annual reviews in control, 2017 - Elsevier
Traffic state estimation (TSE) refers to the process of the inference of traffic state variables
(ie, flow, density, speed and other equivalent variables) on road segments using partially …

Route choice modeling: past, present and future research directions

CG Prato - Journal of choice modelling, 2009 - Elsevier
Modeling route choice behavior is problematic, but essential to appraise travelers'
perceptions of route characteristics, to forecast travelers' behavior under hypothetical …

The path most traveled: Travel demand estimation using big data resources

JL Toole, S Colak, B Sturt, LP Alexander… - … Research Part C …, 2015 - Elsevier
Rapid urbanization is placing increasing stress on already burdened transportation
infrastructure. Ubiquitous mobile computing and the massive data it generates presents new …

Development of origin–destination matrices using mobile phone call data

MS Iqbal, CF Choudhury, P Wang… - … Research Part C …, 2014 - Elsevier
In this research, we propose a methodology to develop OD matrices using mobile phone
Call Detail Records (CDR) and limited traffic counts. CDR, which consist of time stamped …

Measuring tourism destinations using mobile tracking data

J Raun, R Ahas, M Tiru - Tourism Management, 2016 - Elsevier
We develop a methodology for measuring visitor flows to destinations using space-time
tracking data. Based on a review of the literature on this topic we propose that a tourism …

Measuring spatial accessibility to healthcare for populations with multiple transportation modes

L Mao, D Nekorchuk - Health & place, 2013 - Elsevier
Few measures of healthcare accessibility have considered multiple transportation modes
when people seek healthcare. Based on the framework of the 2 Step Floating Catchment …

Behavioural data mining of transit smart card data: A data fusion approach

T Kusakabe, Y Asakura - Transportation Research Part C: Emerging …, 2014 - Elsevier
The aim of this study is to develop a data fusion methodology for estimating behavioural
attributes of trips using smart card data to observe continuous long-term changes in the …

Using mobile positioning data to model locations meaningful to users of mobile phones

R Ahas, S Silm, O Järv, E Saluveer… - Journal of urban …, 2010 - Taylor & Francis
The article introduces a model for the location of meaningful places for mobile telephone
users, such as home and work anchor points, using passive mobile positioning data …

Understanding monthly variability in human activity spaces: A twelve-month study using mobile phone call detail records

O Järv, R Ahas, F Witlox - Transportation Research Part C: Emerging …, 2014 - Elsevier
Human activity-travel behaviour (ATB) is a complex pattern of paths and activities in space
and time. Studies indicate that ATB is the construction of daily habitual, weekly, monthly and …

Pedestrian-movement prediction based on mixed Markov-chain model

A Asahara, K Maruyama, A Sato, K Seto - Proceedings of the 19th ACM …, 2011 - dl.acm.org
A method for predicting pedestrian movement on the basis of a mixed Markov-chain model
(MMM) is proposed. MMM takes into account a pedestrian's personality as an unobservable …