An interdisciplinary survey on origin-destination flows modeling: Theory and techniques

C Rong, J Ding, Y Li - arXiv preprint arXiv:2306.10048, 2023 - arxiv.org
Origin-destination~(OD) flow modeling is an extensively researched subject across multiple
disciplines, such as the investigation of travel demand in transportation and spatial …

Evaluating the multi-scale patterns of jobs-residence balance and commuting time–cost using cellular signaling data: A case study in Shanghai

L Yan, D Wang, S Zhang, D Xie - Transportation, 2019 - Springer
Assessing jobs-housing balance (JHB) and commuting efficiency is crucial to urban and
transport planning. However, the scale dependency problem, meaning that metrics may be …

Sparking innovation in a crisis: an IoT sensor location-based early warning system for pandemic control

I Tasic, MD Cano - Applied Sciences, 2022 - mdpi.com
The COVID-19 pandemic has recently brought attention to several acute human needs.
However, it has also demonstrated how crisis can spark innovation in the context of …

Exploring home and work locations in a city from mobile phone data

L Tongsinoot, V Muangsin - 2017 IEEE 19th International …, 2017 - ieeexplore.ieee.org
Recently, mobile phone call detail records (CDR) have been used to study mobility patterns
in cities. Since home and workplace are the most important places in people's lives and …

Understanding evacuation and impact of a metro collision on ridership using large‐scale mobile phone data

Z Duan, Z Lei, M Zhang, W Li… - IET Intelligent Transport …, 2017 - Wiley Online Library
As randomly occurring events, traffic accidents pose serious challenges to the collection of
comprehensive data to understand how travellers respond to them and to quantify their …

Smart gate: A modular system for occupancy and environmental monitoring of spaces

E Longo, AEC Redondi, M Bianchini… - … on Smart and …, 2020 - ieeexplore.ieee.org
The Covid-19 pandemic has imposed strict regulations on social distancing, requiring
constant monitoring of the occupancy level of spaces. In this work, we describe the prototype …

Pedestrian characterisation in urban environments combining WiFi and AI

A Guillen-Perez, MD Cano - International Journal of Sensor …, 2021 - inderscienceonline.com
Knowing how many people there are in a given scenario offers new possibilities for the
development of intelligent services. With this goal in mind, the use of sensors and radio …

Automatic identification of relevant places from cellular network data

M Mamei, M Colonna, M Galassi - Pervasive and Mobile Computing, 2016 - Elsevier
We present a methodology to automatically identify users' relevant places from cellular
network data. 1 In this work we used anonymized Call Detail Record (CDR) comprising …

Supervised land use inference from mobility patterns

N Caceres, FG Benitez - Journal of Advanced Transportation, 2018 - Wiley Online Library
This paper addresses the relationship between land use and mobility patterns. Since each
particular zone directly feeds the global mobility once acting as origin of trips and others as …

Using longitudinal mobile phone data to understand the stability of individual travel patterns: Case study of three communities in Shanghai, China

Z Duan, C Wang, HM Zhang, Z Lei… - Transportation …, 2017 - journals.sagepub.com
Most travel demand models assume that individuals' daily travel patterns are stable or follow
a fixed routine. This hypothesis is being questioned by more and more researchers. In this …