visión de conjunto:Reseña del editor Mobility Patterns Big Data and Transport Analytics provides a guide to the new analytical framework and its relation to big data focusing on capturing predicting visualizing and controlling mobility patterns - a key aspect of transportation modeling. The book features prominent international experts who provide overviews on new analytical frameworks applications and concepts in mobility analysis and transportation systems. Users will find a detailed mobility 'structural' analysis and a look at the extensive behavioral characteristics of transport observability requirements and limitations for realistic transportation applications and transportation systems analysis that are related to complex processes and phenomena. This book bridges the gap between big data data science and transportation systems analysis with a study of big data's impact on mobility and an introduction to the tools necessary to apply new techniques. The book covers in detail mobility 'structural' analysis (and its dynamics) the extensive behavioral characteristics of transport observability requirements and limitations for realistic transportation applications and transportation systems analysis related to complex processes and phenomena. The book bridges the gap between big data data science and Transportation Systems Analysis with a study of big data's impact on mobility and an introduction to the tools necessary to apply new techniques. Biografía del autor Constantinos Antoniou is a Professor and Chair of Transportation Systems Engineering at the Technical University of Munich Germany. He was previously an Associate Professor at the National Technical University of Athens Greece. His research focuses on modelling and simulation of transportation systems Intelligent Transport Systems (ITS) calibration and optimization applications road safety and sustainable transport system. Antoniou has been involved in a large number of projects primarily in Europe and the US and has authored more than 250 scientific publications including in Elsevier’s Transportation Research Part C: Emerging Technologies (for which he serves on the editorial board) and Journal of Transport Geography. He has also authored a book on dynamic traffic assignment modelsDr. Loukas Dimitriou is an Assistant Professor in Dept. of Civil and Environmental Engineering University of Cyprus (UCY) and founder and head of the LαB for Transport Engineering UCY. His research interests focuses in the application of advanced computational intelligence methods concepts and techniques for understanding the complex phenomena involved in realistic transport systems and further developing design and control strategies such as to optimize their performance. The methodological paradigms that he propose utilize (or combine) elements from Data Science behavioural analytics complex systems modelling and advanced optimization applied in traditional fields of transport like demand modelling travel behaviour and systems organization optimization and control. He has more than 100 publications in peer-reviewed journals proceedings of conferences and book chapters while he is an active member of international scientific organizations and committees.Research Interests:Transport Infrastructure Planning and DesignTraffic EngineeringTransportation NetworksCompetitive DesignDemand Analysis and ForecastingIntelligent Transport SystemsTransit SystemsTerminalsHighway DesignPedestrian SystemsFrancisco Pereira is a Professor at the Technical University of Denmark in Kongens Lyngby Denmark where he leads the Smart Mobility research group. Previously he was Senior Research Scientist at MIT/CEE ITSLab where he worked on real-time traffic prediction behavior modeling and advanced data collection technologies both in Boston and Singapore as part of the Singapore-MIT Alliance for Research and Technology Future Urban Mobility project (SMART/FM). His main research focus is on applying machine learning and pattern recognition to the context of transportation systems with the purpose of understanding and predicting mobility behavior and modeling and optimizing the transportation system as a whole. He has been published in many journals including in Elsevier’s Transportation Research Part C: Emerging Technologies.