Journal Articles
2019(1 publication)
[publication]Mungthanya, W. and Phithakkitnukoon, S. and Demissie, M. and Marco Veloso and Kattan, L. and Bento, C. and Ratti, C. , "Constructing Time-Dependent Origin-Destination Matrices with Adaptive Zoning Scheme and Measuring Their Similarities with Taxi Trajectory Data", IEEE Open Access Journal,  vol. 7,  pp. 77723-77737, 2019

2016(1 publication)
[publication]Foell, S. and Phithakkitnukoon, S. and Marco Veloso and Kortuem, G. and Bento, C. , "Regularity of Public Transport Usage: A case study of bus rides in Lisbon, Portugal", Journal of Public Transportation, 2016

2015(1 publication)
[publication]Foell, S. and Kortuem, G. and Phithakkitnukoon, S. and Marco Veloso and Bento, C. , "Predictability of Public Transport Usage: A Study of Bus Rides in Lisbon, Portugal", IEEE Transactions on Intelligent Transportation Systems,  vol. 16,  pp. 2955-2960, 2015

Conference Articles
2020(1 publication)
[publication]Pires, J. and Aldina, . and Marco Veloso and Phithakkitnukoon, S. and Bento, C. , "Inferring Commuting Routes and Transportation Modes from Call Detail Records", in Proceedings of 8th Transport Research Arena (TRA 2020), 2020

2019(2 publications)
[publication]Pires, J. and Aldina, . and Marco Veloso and Bento, C. , "How the Quality of Call Detail Records Influences the Detection of Commuting Patterns", in 19th EPIA Conference on Artificial Intelligence (EPIA 2019), 2019

[publication]Aldina, . and Pires, J. and Marco Veloso and Phithakkitnukoon, S. and Bento, C. , "How the quality of call detail records influences the detection of commuting trips", in EPIA Conference on Artificial Intelligence 2019, 2019

2018(1 publication)
[publication]Monteiro, J. and Barata, J. and Marco Veloso and Veloso, L. and Nunes, J. , "Towards Sustainable Digital Twins for Vertical Farming", in 13th International Conference on Digital Information Management (ICDIM), Berlin, Germany, 2018

2016(3 publications)
[publication]Phithakkitnukoon, S. and Marco Veloso and Bento, C. , "Visualization Tool for Taxi Usage Analysis:  A case study of Lisbon, Portugal", in Fifth International  Workshop on Pervasive Urban Applications (PURBA) in conjunction with ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016), 2016

[publication]Marco Veloso and Phithakkitnukoon, S. and Bento, C. , "Mining Taxi Data for Describing City in the Context of Mobility, Sociality, and Environment: Lessons Learned", in 19th IEEE Intelligent Transportation Systems Conference (ITSC 2016), 2016

[publication]Marco Veloso and Phithakkitnukoon, S. and Bento, C. , "Inferring Exhaust Gases Levels using Taxi Service and Meteorological Data: An Experiment in the City of Porto, Portugal", in 19th IEEE Intelligent Transportation Systems Conference (ITSC 2016), 2016

2015(1 publication)
[publication]Phithakkitnukoon, S. and Marco Veloso and Bento, C. , "A Tool for Exploratory Visualization of Bus Mobility and Ridership: A case study of Lisbon, Portugal", in Fourth International  Workshop on Pervasive Urban Applications (PURBA) in conjunction with ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2015), 2015

2014(1 publication)
[publication]Foell, S. and Phithakkitnukoon, S. and Kortuem, G. and Marco Veloso and Bento, C. , "Catch Me If You Can: Predicting Mobility Patterns of Public Transport Users", in 17th IEEE Intelligent Transportation Systems Conference, 2014
[citation][year=2016]Inferring passenger travel demand to improve urban mobility in developing countries using cell phone data: A case study of Senegal
MG Demissie, S Phithakkitnukoon, 2016
[citation][year=2016]Transit Origin-Destination Estimation
M Hickman, 2016
[citation][year=2016]Forecasting dynamic public transport Origin-Destination matrices with long-Short term Memory recurrent neural networks
F Toqué, E Côme, MK El Mahrsi, 2016
[citation][year=2016]Shortcut suggestion based on collaborative user feedback for suitable wheelchair route planning
R Minetto, NP Kozievitch, RD da Silva, 2016
[citation][year=2016]Modeling Transport Accessibility with Open Data: Case Study of St. Petersburg
AA Lantseva, SV Ivanov, 2016

2013(3 publications)
[publication]Marco Veloso and Bento, C. and Phithakkitnukoon, S. , "Exploring Relationship  Between Taxi Volume and  Flue Gases’ Concentrations", in Third International  Workshop on Pervasive Urban Applications (PURBA) in conjunction with ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2013

[publication]Bhattacharya, S. and Phithakkitnukoon, S. and Nurmi, P. and Klami, A. and Marco Veloso and Bento, C. , "Predicting Bus Ridership", in Third International  Workshop on Pervasive Urban Applications (PURBA) in conjunction with ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2013

[publication]Foell, S. and Kortuem, G. and Rawassizadeh, R. and Phithakkitnukoon, S. and Marco Veloso and Bento, C. , "Mining Temporal Patterns of Transport Behaviour for Predicting Future Transport Usage", in Third International  Workshop on Pervasive Urban Applications (PURBA) in conjunction with ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2013
[citation][year=2016]Inferring passenger travel demand to improve urban mobility in developing countries using cell phone data: A case study of Senegal
MG Demissie, S Phithakkitnukoon, 2016
[citation][year=2016]Transit Origin-Destination Estimation
M Hickman, 2016
[citation][year=2016]Mining Ticketing Logs for Usage Characterization with Nonnegative Matrix Factorization
P Gallinari, 2016
[citation][year=2016]Smart card in public transportation: Designing a analysis system at the human scale
E Tonnelier, N Baskiotis, V Guigue, 2016
[citation][year=2016]Análisis y predicción del comportamiento de la operación de transporte de carga automotor usando técnicas de minería de datos
JC Estevez Cardenas, 2016
[citation][year=2013]Informing the design of future transport information services with travel behaviour data
S Foell, R Rawassizadeh, G Kortuem - … of the 2013 ACM conference on …, 2013 - dl.acm.org
Abstract In order to increase the attractiveness of public transport systems, information
[citation][year=2013]Informing the design of future transport information services with travel behaviour data
S Foell, R Rawassizadeh, G Kortuem, 2013

2012(1 publication)
[publication]Marco Veloso and Phithakkitnukoon, S. and Bento, C. , "Exploring the Relationship between Mobile Phone Call Intensity and Taxi Volume in Urban Area", in IEEE ITSC - Intelligent Transportation Systems Conference, 2012

2011(4 publications)
[publication]Marco Veloso and Bento, C. and Phithakkitnukoon, S. , "Urban Mobility Study using Taxi Traces", in International Workshop on Trajectory Data Mining and Analysis (TDM) in conjunction with the 13th International Conference on Ubiquitous Computing , 2011
[citation][year=2016]Visualizing the Relationship Between Human Mobility and Points of Interest
W Zeng, CW Fu, SM Arisona, 2016
[citation][year=2016]Public charging infrastructure in Japan–A stochastic modelling analysis
J Rominger, C Farkas, 2016
[citation][year=2016]Analysis of Grid Cell–Based Taxi Ridership with Large-Scale GPS Data
D Nam, K Hyun, H Kim, K Ahn, 2016
[citation][year=2016]On Preventing Location Attacks for Urban Vehicular Networks
M Zhou, X Li, L Liao, 2016
[citation][year=2016]Efficient vehicles path planning algorithm based on taxi GPS big data
J Zhang, W Meng, QQ Liu, H Jiang, Y Feng, 2016
[citation][year=2016]Dynamic monitoring of taxi demand profiles, utilizing location-specific information in large metropolitan areas
L Dimitriou, C Christodoulou, E Kourti, 2016
[citation][year=2016]Spica: A Path Bundling Model for Rational Route Recommendation
L Lv, Y Liu, X Yu, 2016
[citation][year=2016]Dynamic Estimation of Optimal Dispatching Locations for Taxi Services in Mega-Cities based on Detailed GPS Information
L Dimitriou, E Kourti, C Christodoulou, V Gkania, 2016
[citation][year=2013]Visual exploration of big spatio-temporal urban data: A study of new york city taxi trips
N Ferreira, J Poco, HT Vo, J Freire… - … and Computer Graphics …, 2013 - ieeexplore.ieee.org
Abstract—As increasing volumes of urban data are captured and become available, new 
opportunities arise for data-driven analysis that can lead to improvements in the lives of
[citation][year=2013]Yellow cabs as red corpuscles
TH Savage, HT Vo - Big Data, 2013 IEEE International …, 2013 - ieeexplore.ieee.org
Abstract—Data obtained from New York City's Taxi & Limousine Commission highlights the 
importance of yellow cabs in the city's transportation infrastructure. In 2011, for example,
[citation][year=2013]Analysis of Travel Time Patterns in Urban Using Taxi GPS Data
M Gao, T Zhu, X Wan, Q Wang - Green Computing and …, 2013 - ieeexplore.ieee.org
Accurate travel time information can help people plan travel schedule and improve work
[citation][year=2013]PDF] Predicting Globally and Locally: A Comparison of Methods for Vehicle Trajectory Prediction
W Groves, E Nunes, M Gini - Workshop on Ubiquitous Data Mining, 2013 - ceur-ws.org
Abstract We propose eigen-based and Markov-based methods to explore the global and
[citation][year=2012]Real Time Anomalous Trajectory Detection and Analysis
L Sun, D Zhang, C Chen, PS Castro, S Li
[citation][year=2012]Mining the semantics of origin-destination flows using taxi traces
W Zhang, S Li, G Pan - Proceedings of the 2012 ACM Conference on …, 2012 - dl.acm.org
Abstract Origin-destination (OD) flows reflect both human activity and urban dynamic in a
[citation][year=2012]Smarter outlier detection and deeper understanding of large-scale taxi trip records: a case study of NYC
J Zhang - Proceedings of the ACM SIGKDD International …, 2012 - dl.acm.org
Abstract Outlier detection in large-scale taxi trip records has imposed significant technical
[citation][year=2012]From taxi GPS traces to social and community dynamics: a survey
PS Castro, D Zhang, C Chen, S Li, G Pan - ACM Computing Surveys ( …, 2013 - dl.acm.org
Abstract Vehicles equipped with GPS localizers are an important sensory device for
[citation][year=2012]Enabling pervasive applications by understanding individual and community behaviors
L Sun - 2012 - theses.fr
Résumé Les empreintes digitales recueillies par détection systèmes offrent de nouvelles
[citation][year=2012][PDF] Doctor of Philosophy (PhD) Thesis Université Pierre & Marie Curie-TELECOM SudParis
SUN Lin - 2012 - hal.inria.fr
Abstract With the rapid advancement of sensing, computing, networking and storage, recent 
years have been witnessing a phenomenal growth of sensor-embedded mobile phones and
[citation][year=2012][PDF] Characterizing Urban Dynamics Using Large Scale Taxicab Data
X Qian, X Zhan, SV Ukkusuri - Transportation Research Record - assets.conferencespot.org
In this paper, we analyze the data from New York City taxis and comprehensively 2 explore 
the underlying patterns of urban taxi trips. Though a number of studies have been 3
[citation][year=2012][PDF] A Conceptual Model for Representation of Taxi Trajectories
BA Salvador - geoinfo.info
Abstract. The large-scale capture of data about the motion of moving objects has enabled 
the development of geospatial tools to analyze and present the characteristics of these
[citation][year=2012][PDF] Urban Mobility Dynamics Based on Flexible Discrete Region Partition
L Wang, K Hu, T Ku, J Wu - downloads.hindawi.com
Abstract: Understanding the urban mobility patterns is essential for the planning and 
management of public infrastructure and transportation services. In this paper we focus on
[citation][year=2012]Nouvelles applications pervasives par la modélisation des comportements individuels et communautaires
L Sun - 2012 - halshs.archives-ouvertes.fr
Abstract With the rapid advancement of sensing, computing, networking and storage, recent 
years have been witnessing a phenomenal growth of sensor-embedded mobile phones and

[publication]Marco Veloso and Bento, C. and Phithakkitnukoon, S. , "Exploratory Study of Urban Flow using Taxi Traces", in First Workshop on Pervasive Urban Applications (PURBA) in conjunction with the Ninth International Conference on Pervasive Computing, 2011
[citation][year=2016]Dynamic Estimation of Optimal Dispatching Locations for Taxi Services in Mega-Cities based on Detailed GPS Information
L Dimitriou, E Kourti, C Christodoulou, V Gkania, 2016
[citation][year=2016]An Investigation of Intra-Urban Mobility Pattern of Taxi Passengers
L Zhang, S Luo, H Xia , 2016
[citation][year=2016]The significance of digital data systems for smart city policy
K Kourtit, P Nijkamp, J Steenbruggen, 2016
[citation][year=2013]From taxi GPS traces to social and community dynamics: a survey
PS Castro, D Zhang, C Chen, S Li, G Pan - ACM Computing Surveys ( …, 2013 - dl.acm.org
Abstract Vehicles equipped with GPS localizers are an important sensory device for 
examining people's movements and activities. Taxis equipped with GPS localizers serve the 
transportation needs of a large number of people driven by diverse needs; their traces can ...
[citation][year=2013]Visual exploration of big spatio-temporal urban data: A study of new york city taxi trips
N Ferreira, J Poco, HT Vo, J Freire… - … and Computer Graphics …, 2013 - ieeexplore.ieee.org
Abstract—As increasing volumes of urban data are captured and become available, new 
opportunities arise for data-driven analysis that can lead to improvements in the lives of 
citizens through evidence-based decision making and policies. In this paper, we focus on ...
[citation][year=2013]Yellow cabs as red corpuscles
TH Savage, HT Vo - Big Data, 2013 IEEE International …, 2013 - ieeexplore.ieee.org
Abstract—Data obtained from New York City's Taxi & Limousine Commission highlights the 
importance of yellow cabs in the city's transportation infrastructure. In 2011, for example, 
there were nearly 180 million cab rides. In this paper, we provide detailed visualizations of ...
[citation][year=2013]Unraveling the origin of exponential law in intra-urban human mobility
X Liang, J Zhao, L Dong, K Xu - arXiv preprint arXiv:1305.6364, 2013 - arxiv.org
Abstract: The vast majority of travel takes place within cities. Recently, new data has become 
available which allows for the discovery of urban mobility patterns which differ from 
established results about long distance travel. Specifically, the latest evidence ...
[citation][year=2012]The scaling of human mobility by taxis is exponential
X Liang, X Zheng, W Lv, T Zhu, K Xu - Physica A: Statistical Mechanics and …, 2012 - Elsevier
As a significant factor in urban planning, traffic forecasting and prediction of epidemics, 
modeling patterns of human mobility draws intensive attention from researchers for decades.
[citation][year=2012]Mining the semantics of origin-destination flows using taxi traces
W Zhang, S Li, G Pan - Proceedings of the 2012 ACM Conference on …, 2012 - dl.acm.org
Abstract Origin-destination (OD) flows reflect both human activity and urban dynamic in a 
city. However, our understanding about their patterns remains limited. In this paper, we study 
the GPS traces of taxis in a city with several millions people, China and find that there are ...
[citation][year=2012]To taxi or not to taxi?-enabling personalised and real-time transportation decisions for mobile users
W Wu, WS Ng, S Krishnaswamy… - … (MDM), 2012 IEEE 13th …, 2012 - ieeexplore.ieee.org
Abstract We demonstrate a system that monitors the taxi availability at taxi stands by mining 
real-time taxi trajectory data streams. The system includes a server-side trajectory data 
stream processing and mining program and a client-side mobile application for Android ...
[citation][year=2012]Estimation of urban commuting patterns using cellphone network data
V Frias-Martinez, C Soguero… - Proceedings of the ACM …, 2012 - dl.acm.org
Abstract Commuting matrices are key for a variety of fields, including transportation 
engineering and urban planning. Up to now, these matrices have been typically generated 
from data obtained from surveys. Nevertheless, such approaches typically involve high ...
[citation][year=2012]Modeling collective human mobility: Understanding exponential law of intra-urban movement
X Liang, J Zhao, L Dong, K Xu - arXiv preprint arXiv:1212.6331, 2012 - arxiv.org
Abstract: It is very important to understand urban mobility patterns because most trips are 
concentrated in urban areas. In the paper, a new model is proposed to model collective 
human mobility in urban areas. The model can be applied to predict individual flows not ...

[publication]Nuno Gil Fonseca and Bento, C. and Marco Veloso , "Personalized Indoor Transit Advertising", in Fourth Workshop on Pervasive Advertising in conjunction with the Ninth International Conference on Pervasive Computing, 2011

[publication]Marco Veloso and Phithakkitnukoon, S. and Bento, C. , "Sensing Urban Mobility with Taxi Flow", in International Workshop on Location-Based Social Networks (LBSN) in conjunction with the 19th International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL), 2011
[citation][year=2016]Analyzing urban human mobility patterns through a thematic model at a finer scale
F Zhang, X Zhu, W Guo, X Ye, T Hu, 2016
[citation][year=2016]Assessing patient bypass behavior using taxi trip origin–Destination (OD) data
G Yang, C Song, H Shu, J Zhang, T Pei, 2016
[citation][year=2016]A comparison of road-network-constrained trajectory compression methods
Y Ji, H Liu, X Liu, Y Ding, W Luo, 2016
[citation][year=2016]Analysis of Grid Cell–Based Taxi Ridership with Large-Scale GPS Data
D Nam, K Hyun, H Kim, K Ahn, 2016
[citation][year=2016]Identifying the Temporal Characteristics of Intra-City Movement Using Taxi Geo-Location Data
W Zhang, X Qian, SV Ukkusuri, 2016
[citation][year=2016]Clockwise compression for trajectory data under road network constraints
Y Ji, Y Zang, W Luo, X Zhou, Y Ding, 2016
[citation][year=2013]Pathlet learning for compressing and planning trajectories
C Chen, H Su, Q Huang, L Zhang… - Proceedings of the 21st …, 2013 - dl.acm.org
Abstract The wide deployment of GPS devices has generated gigantic datasets of 
pedestrian and vehicular trajectories. These datasets offer great opportunities for enhancing
[citation][year=2013]From taxi GPS traces to social and community dynamics: a survey
PS Castro, D Zhang, C Chen, S Li, G Pan - ACM Computing Surveys ( …, 2013 - dl.acm.org
Abstract Vehicles equipped with GPS localizers are an important sensory device for
[citation][year=2013]Revealing daily travel patterns and city structure with taxi trip data
X Liu, L Gong, Y Gong, Y Liu - arXiv preprint arXiv:1310.6592, 2013 - arxiv.org
Abstract: Detecting regional spatial structures based on spatial interactions is crucial in
[citation][year=2013][PDF] Urban Mobility Dynamics Based on Flexible Discrete Region Partition
L Wang, K Hu, T Ku, J Wu - downloads.hindawi.com
Abstract: Understanding the urban mobility patterns is essential for the planning and

2010(1 publication)
[publication]Phithakkitnukoon, S. and Marco Veloso and Bento, C. and Biderman, A. , "Taxi-Aware Map: Identifying and predicting vacant taxis in the city", in International Joint Conference on Ambient Intelligence, 2010
[citation][year=2016]Taxi-Passenger-Demand Modeling Based on Big Data from a Roving Sensor Network
D Zhang, T He, S Lin, S Munir, 2016
[citation][year=2016]Trajectory data mining: A review of methods and applications
JD Mazimpaka, S Timpf, 2016
[citation][year=2016]Taxi dispatch with real-time sensing data in metropolitan areas: A receding horizon control approach
F Miao, S Han, S Lin, JA Stankovic, 2016
[citation][year=2016]Impacts of urban built environment on empty taxi trips using limited geolocation data
W Zhang, SV Ukkusuri, JJ Lu, 2016
[citation][year=2016]A study of human mobility behavior dynamics: A perspective of a single vehicle with taxi
CZ Yao, JN Lin, 2016
[citation][year=2016]Time-evolving OD matrix estimation using high-speed GPS data streams
L Moreira-Matias, J Gama, M Ferreira, 2016
[citation][year=2016]Analysis of Grid Cell–Based Taxi Ridership with Large-Scale GPS Data
D Nam, K Hyun, H Kim, K Ahn, 2016
[citation][year=2016]Taxi Dispatches Using Supply Forecasting: A Time-Series Based Approach
R Gelda, K Jagannathan, 2016
[citation][year=2016]Regularity of Public Transport Usage: A Case Study of Bus Rides in Lisbon, Portugal
S Foell, S Phithakkitnukoon, 2016
[citation][year=2016]Spatiotemporal Pattern Analysis of Taxi Trips in New York City
HH Hochmair, 2016
[citation][year=2016]Multiple routes recommendation system on massive taxi trajectories
Y He, F Zhang, Y Li, J Huang, L Yin, 2016
[citation][year=2016]Understanding Urban Mobility via Taxi Trip Clustering
D Kumar, H Wu, Y Lu, S Krishnaswamy, 2016
[citation][year=2016]Prediction of population distribution on campus based on historical location data
M Zhu, C Pan, G Yang, H Liu, 2016
[citation][year=2016]Labeling Spatial Trajectories in Road Net-work Using Probabilistic Graphical Models
J Yang, 2016
[citation][year=2016]A multi-level clustering approach for forecasting taxi travel demand
N Davis, G Raina, 2016
[citation][year=2015]A comprehensive survey of recommendation system based on taxi GPS trajectory
Y Hu, Y Yang, B Huang , 2015
[citation][year=2015]A Novel Grid Based K-Means Cluster Method for Traffic Zone Division
Y Zheng, G Zhao, J Liu, 2015
[citation][year=2015]A Traffic Based Recommendation Model for Taxi Passengers and Drivers
L Yangdong, T Ye, Y Bo, M Wei, 2015
[citation][year=2015]Uncovering urban human mobility from large scale taxi GPS data
J Tang, F Liu, Y Wang, H Wang, 2015
[citation][year=2015]Online cruising mile reduction in large-scale taxicab networks
D Zhang, T He, S Lin, S Munir, 2015
[citation][year=2015]Estimating taxi demand-supply level using taxi trajectory data stream
D Shao, W Wu, S Xiang, Y Lu, 2015
[citation][year=2015]Exploring challenging environments: Contextual research in the car and the factory through an hci lens
A Weiss, A Meschtscherjakov, R Buchner, 2015
[citation][year=2015]Dbh-clus: A hierarchal clustering method to identify pick-up/drop-off hotspots
XJ Wan, J Wang, Y Zhong, Y Du , 2015
[citation][year=2015]Profit-Aware Driver Routing for On-Demand Transport Services
M Grajciar, 2015
[citation][year=2015]On the prediction of future vehicle locations in free-floating car sharing systems
S Formentin, AG Bianchessi, 2015
[citation][year=2015]Care to Share?: Using GPS Fleet Data to Assess Taxi Sharing
P Santi, C Ratti, 2015
[citation][year=2015]Estimating the Tolerable Waiting Time Using Fuzzy Logic
MT Li, X Li, J Yin, 2015
[citation][year=2015]Taxi-Passenger Recommender System: An Application
CN Pushpa, AS Baghel, J Thriveni, KR Venugopal, 2015
[citation][year=2015]Space-Time Demand Adaptive Taxi Routing
M Grajciar, 2015
[citation][year=2015]On Improving Operational Planning and Control in Public Transportation Networks using Streaming Data: A Machine Learning Approach
LAM Matias, 2015
[citation][year=2014]Urban computing: concepts, methodologies, and applications
Y Zheng, L Capra, O Wolfson, H Yang, 2014
[citation][year=2014]Quantifying the benefits of vehicle pooling with shareability networks
P Santi, G Resta, M Szell, 2014
[citation][year=2014]Technical improvement on mobile app based taxi dispatching system
W Chen, 2014
[citation][year=2014]Taxi bidirectional search system based on smart phone
R Xie, K Yan, J Zhou, 2014
[citation][year=2014]Finding vacant taxis using large scale GPS traces
Z Qiu, H Li, S Hong, Y Lin, N Fan, G Ou, T Wang, 2014
[citation][year=2014]Providing Useful Information for Passengers Based on TTF Model
Y Liu, Y Tian, B Yuan, C Wu, W Qian, 2014
[citation][year=2014]Urban mobility dynamics based on flexible discrete region partition
L Wang, K Hu, T Ku, J Wu, 2014
[citation][year=2014]Large-scale Simulation of Vehicular Ad Hoc Networks
RJ Fernandes, 2014
[citation][year=2013]iBOAT: Isolation-Based Online Anomalous Trajectory Detection
C Chen, D Zhang, PS Castro, N Li, L Sun, S Li, Z Wang, 2013
[citation][year=2013]GPS Trajectories Based System: T-Finder
MC Mayuri, MG Rajesh, 2013
[citation][year=2013]T-finder: A recommender system for finding passengers and vacant taxis
NJ Yuan, Y Zheng, L Zhang, 2013
[citation][year=2013]From taxi GPS traces to social and community dynamics: A survey
PS Castro, D Zhang, C Chen, S Li, G Pan, 2013
[citation][year=2013]Real time anomalous trajectory detection and analysis
L Sun, D Zhang, C Chen, PS Castro, S Li, 2013
[citation][year=2013]How long a passenger waits for a vacant taxi--large-scale taxi trace mining for smart cities
G Qi, G Pan, S Li, Z Wu, D Zhang, 2013
[citation][year=2013]Predicting Taxi–Passenger Demand Using Streaming Data
L Moreira-Matias, J Gama, M Ferreira, 2013
[citation][year=2013]Towards efficient vacant taxis cruising guidance
Y Hou, X Li, Y Zhao, X Jia, AW Sadek, 2013
[citation][year=2013]A Novel Taxi Dispatch System for Smart City
Q Zou, G Xue, Y Luo, J Yu, H Zhu, 2013
[citation][year=2013]Changinow: A mobile application for efficient taxi allocation at airports
A Anwar, M Volkov, D Rus, 2013
[citation][year=2013]ChangiNOW: A Mobile Application for Efficient Taxi Allocation at Airports
A Anwar, 2013
[citation][year=2013]On recommending urban hotspots to find our next passenger
L Moreira-Matias, R Fernandes, J Gama, 2013
[citation][year=2013]Understanding urban dynamics from Taxi GPS traces
L Sun, C Chen, D Zhang, 2013
[citation][year=2012]Urban Traffic Modelling and Prediction Using Large Scale Taxi GPS Traces
P Castro, D Zhang, S Li - Pervasive Computing, 2012
[citation][year=2012]T-finder: A recommender system for finding passengers and vacant taxis
N Yuan, Y Zheng, L Zhang, X Xie, 2012
[citation][year=2012]Weather Effects on Mobile Social Interaction: A case study of mobile phone users in Lisbon, Portugal
S Phithakkitnukoon, TW Leong, Z Smoreda, Computing Science, 2012
[citation][year=2012]Real Time Anomalous Trajectory Detection and Analysis
L Sun, D Zhang, C Chen, PS Castro, 2012 
[citation][year=2012]Prediction of urban human mobility using large-scale taxi traces and its applications
X Li, G Pan, Z Wu, G Qi, S Li, D Zhang, W Zhang, 2012 
[citation][year=2012]Real-Time Detection of Anomalous Taxi Trajectories from GPS Traces
C Chen, D Zhang, P Samuel Castro, N Li, 2012
[citation][year=2012]An Online Recommendation System for the Taxi Stand choice Problem
L Moreira-Matias, R Fernandes, 2012
[citation][year=2012]pCruise: Reducing Cruising Miles for Taxicab Networks
D Zhang, 2012
[citation][year=2012]Taxicabs as Public Transportation in Boston, Massachusetts
D Austin, PC Zegras, 2012
[citation][year=2012]Where to wait for a taxi?
X Zheng, X Liang, K Xu, 2012
[citation][year=2012]Doctor of Philosophy (PhD) Thesis Université Pierre & Marie Curie-TELECOM SudParis
SUN Lin, 2012
[citation][year=2012]Nouvelles applications pervasives par la modélisation des comportements individuels et communautaires
L Sun, 2012
[citation][year=2012]An OSGi-Based Smart Taxi Service Platform
Y Yuan, K Miao, D Zhang, L Sun, 2012
[citation][year=2011]Hunting or waiting? discovering passenger-finding strategies from a large-scale real-world taxi dataset
B Li, D Zhang, L Sun, C Chen, Pervasive Computing, 2011
[citation][year=2011]iBAT: detecting anomalous taxi trajectories from GPS traces
D Zhang, N Li, ZH Zhou, C Chen, 2011
[citation][year=2011]Where to Find My Next Passenger?
J Yuan, Y Zheng, L Zhang, 2011
[citation][year=2011]Towards reducing taxicab cruising time using spatio-temporal profitability maps
J Powell, Y Huang, F Bastani, 2011
[citation][year=2011]Interacting with the Steering Wheel: Potential Reductions in Driver Distraction
S Osswald, A Meschtscherjakov, D Wilfinger, 2011
[citation][year=2011]Smart Beijing: Correlation of Urban Electrical Energy Consumption with Urban Environmental Sensing for Optimizing Distribution Planning
Y Ding, W Zhang, T Miyaki, T Riedel, 2011
[citation][year=2011]Real-time Detection of Anomalous Taxi Trajectories from GPS Traces
C Chen, D Zhang, PS Castro, N Li23, L Sun

2009(1 publication)
[publication]Marco Veloso , "Perceiving City Dynamics Resorting to Data Fusion Mechanisms ", in Multi-Sensor Data Fusion; Intelligent Transport Systems, 2009
[citation][year=2015]Approaches of Information and Communication Technologies (ICT) for Building Smart Cities–A Review
S Navitha, 2015
[citation][year=2015]A Fuzzy Multicriteria Approach for Data Fusion
AD Mora, AJ Falcão, L Miranda, 2015
[citation][year=2013]How Rapidly Should Developing Countries Implement Intelligent Transportation Systems (ITS) to Solve the Growing Urban Traffic Congestion Problem?
M Khanal, 2012
[citation][year=2013]Developing integrated data fusion algorithms for a portable cargo screening detection system
A Ayodeji, 2012
[citation][year=2011]QoS Based Enerby Efficient Routing in Wireless Sensor Network
B Nazir, 2011
[citation][year=2009]Smart Sensor Networks: Technologies and Applications for
G Growthm, 2009

2008(1 publication)
[publication]Zegras, C. and Pereira, F.C. and Amey, A. and Marco Veloso and Liu, L. and Bento, C. and Biderman, A. , "Data Fusion for Travel Demand Management: State of the Practice and Prospects", in Travel Demand Management Symposium (TDM\'08), 2008

2007(1 publication)
[publication]Bento, C. and Costa, M. and Batista, B. and Marco Veloso , "A Study on the Suitability of GSM Signatures for Indoor Location", in European Conference on Ambient Intelligence, 2007
[citation][year=2013]On the Prediction of Floor Identification Credibility in RSS-Based Positioning Techniques
M Grzenda, 2013
[citation][year=2013]Application of Particle Swarm Optimization Algorithm to Neural Network Training Process in the Localization of the Mobile Terminal
J Karwowski, M Okulewicz, J Legierski, 2013
[citation][year=2012]Computação ubíqua para aplicações em saúde
FC Santos

2006(1 publication)
[publication]Marco Veloso and Bento, C. , "Predição da localização no interior de edifícios baseada em sinais de radiofrequência", in Conference on Mobile and Ubiquitous Systems, 2006

2005(2 publications)
[publication]Bento, C. and Peixoto, J. and Marco Veloso , "A Case-Based Approach for Indoor Location", 2005
[citation][year=2012]Computação ubíqua para aplicações em saúde
FC Santos - 2012 - repositorio-aberto.up.pt
Resumo Nestes últimos anos, os Cuidados de Saúde têm-se tornado, na sua grande
[citation][year=2012]Computação ubíqua para aplicações em saúde
FC Santos
[citation][year=2008]Alien Presence in the Home: A Formative Evaluation of Collage Machine
M Romero, Z Pousman, M Mateas 
[citation][year=2007]The ejaki project: a quality of service regulator for citizens
AO Alves, N Figueiredo, H Gomes

[publication]Marco Veloso and Bento, C. , "Indoor Location Based on GSM Footprints ", in 7th International Conference on Ubiquitous Computing, UbiComp, 2005

PhD Theses
2016(1 publication)
[publication]Marco Veloso , "Analysis of Taxi Data for Understanding Urban Dynamics", 2016

MSc Theses
2007(1 publication)
[publication]Marco Veloso , "Localização no Interior de Edifícios Recorrendo a Assinaturas GSM", 2007

Tech Report
2016(1 publication)
[publication]Marco Veloso and Phithakkitnukoon, S. and Bento, C. , "Analysis of Taxi Service and Exhaust Gases in Porto, Portugal", 2016

2014(1 publication)
[publication]Marco Veloso and Bento, C. and Phithakkitnukoon, S. , "Taxi as a Probe for Environmental Changes in Urban Areas (Internal Technical Report)", 2014

2013(1 publication)
[publication]Marco Veloso and Bento, C. and Phithakkitnukoon, S. , "Taxi Driver Assistant – A Proposal for a Recommendation System (Internal Technical Report)", 2013

2012(3 publications)
[publication]Marco Veloso and Bento, C. and Phithakkitnukoon, S. , "Study of taxi demand and the use of GSM network (Internal Technical Report)", 2012

[publication]Marco Veloso and Bento, C. and Phithakkitnukoon, S. , "Impact of area type characterized by POIs to the taxi service (Internal Technical Report)", 2012

[publication]Marco Veloso and Bento, C. and Phithakkitnukoon, S. , "Taxi Driver Assistant Framework (Internal Technical Report)", 2012

2011(2 publications)
[publication]Marco Veloso and Bento, C. and Phithakkitnukoon, S. , "Exploratory study of taxi trajectories and taxi driver behavior (Internal Technical Report)", 2011

[publication]Marco Veloso and Bento, C. and Phithakkitnukoon, S. , "Study of average taxi speed on urban areas (Internal Technical Report)", 2011

2009(2 publications)
[publication]Marco Veloso and Bento, C. and Pereira, F.C. , "Multi-Sensor Data Fusion on Intelligent Transport Systems", 2009

[publication]Amey, A. and Liu, L. and Pereira, F.C. and Zegras, C. and Marco Veloso and Bento, C. , "State of the Practice Overview of Transportation Data Fusion: Technical and Institutional Considerations", 2009