Combining datasets from multiple sources for urban and transportation planning: emphasis on cellular network data

Tese de doutoramento em Programa Doutoral em Sistemas de Transportes apresentada a Faculdade de Ciencias e Tecnologia da Universidade de Coimbra.

[1]  Andres Sevtsuk.  Explorations into Urban Mobility Patterns Using Aggregate Mobile Network Data , 2008 .

[2]  J. White,et al.  Extracting origin destination information from mobile phone data , 2002 .

[3]  Yasuo Asakura,et al.  TRACKING SURVEY FOR INDIVIDUAL TRAVEL BEHAVIOUR USING MOBILE COMMUNICATION INSTRUMENTS , 2004 .

[4]  Pawan Lingras,et al.  AVERAGE AND PEAK TRAFFIC VOLUMES: NEURAL NETS, REGRESSION, FACTOR APPROACHES , 1996 .

[5]  Rein Ahas,et al.  Mobile Positioning in Space–Time Behaviour Studies: Social Positioning Method Experiments in Estonia , 2007 .

[6]  Francisco G. Benitez,et al.  Review of traffic data estimations extracted from cellular networks , 2008 .

[7]  Dharma P. Agrawal,et al.  Handoff in wireless mobile networks , 2002 .

[8]  Carlo Ratti,et al.  Eigenplaces: Segmenting Space through Digital Signatures , 2010, IEEE Pervasive Computing.

[9]  Carlo Ratti,et al.  Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome , 2011, IEEE Transactions on Intelligent Transportation Systems.

[10]  Wasan Pattara-Atikom,et al.  Classification of Cellular Phone Mobility using Naive Bayes Model , 2008, VTC Spring 2008 - IEEE Vehicular Technology Conference.

[11]  Liang Liu,et al.  Estimating Origin-Destination Flows Using Mobile Phone Location Data , 2011, IEEE Pervasive Computing.

[12]  Guillaume Leduc,et al.  Road Traffic Data: Collection Methods and Applications , 2008 .

[13]  Barbara Lenz,et al.  Communication and mobility behaviour – a trend and panel analysis of the correlation between mobile phone use and mobility , 2009 .

[14]  Eddie Wilson,et al.  Real-Time Traffic Monitoring using Mobile Phone Data , 2005 .

[15]  黒田 孝次,et al.  Highway Capacity Manual改訂の動向--テイラ-教授の講演より , 1984 .

[16]  O. Järv,et al.  Using Mobile Positioning Data to Model Locations Meaningful to Users of Mobile Phones , 2010 .

[17]  Mark Dougherty,et al.  A REVIEW OF NEURAL NETWORKS APPLIED TO TRANSPORT , 1995 .

[18]  Alain Bertaud.  The Spatial Organization of Cities: Deliberate Outcome or Unforeseen Consequence? , 2004 .

[19]  R Sharpe,et al.  Urban land use planning , 1988 .

[20]  Carlo Ratti,et al.  Mobile Landscapes: Graz in Real Time , 2007, Location Based Services and TeleCartography.

[21]  Carlo Ratti,et al.  The Geography of Taste: Analyzing Cell-Phone Mobility and Social Events , 2010, Pervasive.

[22]  Fabio Ricciato,et al.  Road traffic estimation from cellular network monitoring: A hands-on investigation , 2009, 2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications.

[23]  G. Correia,et al.  Carpooling and carpool clubs: Clarifying concepts and assessing value enhancement possibilities through a Stated Preference web survey in Lisbon, Portugal , 2011 .

[24]  Johan M Karlsson,et al.  Route classification in travel time estimation based on cellular network signaling , 2009, 2009 12th International IEEE Conference on Intelligent Transportation Systems.

[25]  Dietmar Bauer,et al.  Inferring land use from mobile phone activity , 2012, UrbComp '12.

[26]  S. Hoffmann,et al.  Managing Urban Traffic Congestion , 2007 .

[27]  Laura Ferrari,et al.  Urban Sensing Using Mobile Phone Network Data: A Survey of Research , 2014, ACM Comput. Surv..

[28]  William G. Griswold,et al.  Mobility Detection Using Everyday GSM Traces , 2006, UbiComp.

[29]  Ramón Cáceres,et al.  Route classification using cellular handoff patterns , 2011, UbiComp '11.

[30]  Paul Mullen,et al.  Estimating the demand for urban bus travel , 1975 .

[31]  Carlos Bento,et al.  Intelligent road traffic status detection system through cellular networks handover information: An exploratory study , 2013 .

[32]  Johan Wideberg,et al.  Deriving origin destination data from a mobile phone network , 2007 .

[33]  Youngbin Yim.  The State of Cellular Probes , 2003 .

[34]  S. L. Dhingra,et al.  Another insight into artificial neural networks through behavioural analysis of access mode choice , 1998 .

[35]  Moshe Ben-Akiva,et al.  Discrete Choice Analysis: Theory and Application to Travel Demand , 1985 .

[36]  Jonathan E. Spinney.  Mobile Positioning and LBS Applications , 2003 .

[37]  Florian Heiss,et al.  Discrete Choice Methods with Simulation , 2016 .

[38]  Fabio Ricciato,et al.  Exploiting Cellular Networks for Road Traffic Estimation: A Survey and a Research Roadmap , 2009, VTC Spring 2009 - IEEE 69th Vehicular Technology Conference.

[39]  Bin Ran,et al.  Cellular-Based Data-Extracting Method for Trip Distribution , 2006 .

[40]  Victor Soto,et al.  Robust Land Use Characterization of Urban Landscapes using Cell Phone Data , 2011 .

[41]  B. Slack,et al.  The Geography of Transport Systems , 2006 .

[42]  Carlos Bento,et al.  Exploring cellular network handover information for urban mobility analysis , 2013 .

[43]  Balázs Csanád Csáji,et al.  Exploring the Mobility of Mobile Phone Users , 2012, ArXiv.

[44]  Robert Brewer,et al.  Evaluation of Cell Phone Traffic Data in Minnesota , 2008 .

[45]  Alexandre M. Bayen,et al.  Evaluation of traffic data obtained via GPS-enabled mobile phones: The Mobile Century field experiment , 2009 .

[46]  Yu Liu,et al.  Pervasive location acquisition technologies: Opportunities and challenges for geospatial studies , 2012, Comput. Environ. Urban Syst..

[47]  D. Gundlegard,et al.  Generating Road Traffic Information from Cellular Networks - New Possibilities in UMTS , 2006, 2006 6th International Conference on ITS Telecommunications.

[48]  Michael Batty,et al.  Thinking about Cities as Spatial Events , 2002 .

[49]  Hillel Bar-Gera,et al.  Evaluation of a Cellular Phone-Based System for Measurements of Traffic Speeds and Travel Times: A Case Study from Israel , 2007 .

[50]  Warren S. Sarle,et al.  Neural Networks and Statistical Models , 1994 .

[51]  Suttipong Thajchayapong,et al.  Enhanced detection of road traffic congestion areas using cell dwell times , 2006, 2006 IEEE Intelligent Transportation Systems Conference.

[52]  Bohumil Frantál,et al.  Spatial organisation: development, structure and approximation of geographical systems. , 2010 .

[53]  Randall Cayford,et al.  OPERATIONAL PARAMETERS AFFECTING THE USE OF ANONYMOUS CELL PHONE TRACKING FOR GENERATING TRAFFIC INFORMATION , 2003 .

[54]  Pu Wang,et al.  Development of origin–destination matrices using mobile phone call data , 2014 .

[55]  Ramón Cáceres,et al.  A Tale of One City: Using Cellular Network Data for Urban Planning , 2011, IEEE Pervasive Computing.

[56]  Carlo Ratti,et al.  Computing Urban Mobile Landscapes Through Monitoring Population Density Based On Cell-phone Chatting , 2008 .

[57]  Benjamin Heydecker,et al.  Analysis and Modelling of Traffic Flow under Variable Speed Limits , 2011 .

[58]  Bell Atlantic Nynex Mobile.  Final evaluation report for the CAPITAL-ITS operational test and demonstration program , 1997 .

[59]  Margaret Martonosi,et al.  Identifying Important Places in People's Lives from Cellular Network Data , 2011, Pervasive.

[60]  M. Baucus.  Transportation Research Board , 1982 .

[61]  O. Järv,et al.  Mobile Phones in a Traffic Flow: A Geographical Perspective to Evening Rush Hour Traffic Analysis Using Call Detail Records , 2012, PloS one.

[62]  Brian Lee Smith,et al.  Final Report NCHRP 70-01 PRIVATE-SECTOR PROVISION OF CONGESTION DATA , 2007 .

[63]  Pravin Varaiya,et al.  Wireless magnetic sensors for traffic surveillance , 2008 .

[64]  T Cheng,et al.  GEOTRAVELDIARY: TOWARDS ONLINE AUTOMATIC TRAVEL BEHAVIOUR DETECTION , 2010 .

[65]  Martin Raubal,et al.  Correlating mobile phone usage and travel behavior - A case study of Harbin, China , 2012, Comput. Environ. Urban Syst..

[66]  Liang Liu,et al.  A holistic framework for the study of urban traces and the profiling of urban processes and dynamics , 2009, 2009 12th International IEEE Conference on Intelligent Transportation Systems.

[67]  Lakhmi C. Jain,et al.  Introduction to Fuzzy Clustering , 2006 .

[68]  Veit Schwammle,et al.  A simple and fast method to determine the parameters for fuzzy c-means cluster validation , 2010, 1004.1307.

[69]  Carlo Ratti,et al.  Cellular Census: Explorations in Urban Data Collection , 2007, IEEE Pervasive Computing.

[70]  Murat Kayri,et al.  USING MULTINOMIAL LOGISTIC REGRESSION ANALYSIS IN ARTIFICIAL NEURAL NETWORK: AN APPLICATION , 2010 .

[71]  Albert-László Barabási,et al.  Understanding individual human mobility patterns , 2008, Nature.

[72]  G. E. Nasr,et al.  Backpropagation neural networks for modeling gasoline consumption , 2003 .

[73]  José Manuel Viegas,et al.  A traffic analysis zone definition: a new methodology and algorithm , 2009 .

[74]  W. Hongsakham,et al.  Estimating road traffic congestion from cellular handoff information using cell-based neural networks and K-means clustering , 2008, 2008 5th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology.

[75]  C. Ratti,et al.  Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis , 2006 .