Mobility Data Driven Urban Traffic Monitoring

Author: Zhidan Liu
Editor: Springer Nature
ISBN: 9811622418
File Size: 79,67 MB
Format: PDF, Mobi
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This book introduces the concepts of mobility data and data-driven urban traffic monitoring. A typical framework of mobility data-based urban traffic monitoring is also presented, and it describes the processes of mobility data collection, data processing, traffic modelling, and some practical issues of applying the models for urban traffic monitoring. This book presents three novel mobility data-driven urban traffic monitoring approaches. First, to attack the challenge of mobility data sparsity, the authors propose a compressive sensing-based urban traffic monitoring approach. This solution mines the traffic correlation at the road network scale and exploits the compressive sensing theory to recover traffic conditions of the whole road network from sparse traffic samplings. Second, the authors have compared the traffic estimation performances between linear and nonlinear traffic correlation models and proposed a dynamical non-linear traffic correlation modelling-based urban traffic monitoring approach. To address the challenge of involved huge computation overheads, the approach adapts the traffic modelling and estimations tasks to Apache Spark, a popular parallel computing framework. Third, in addition to mobility data collected by the public transit systems, the authors present a crowdsensing-based urban traffic monitoring approach. The proposal exploits the lightweight mobility data collected from participatory bus riders to recover traffic statuses through careful data processing and analysis. Last but not the least, the book points out some future research directions, which can further improve the accuracy and efficiency of mobility data-driven urban traffic monitoring at large scale. This book targets researchers, computer scientists, and engineers, who are interested in the research areas of intelligent transportation systems (ITS), urban computing, big data analytic, and Internet of Things (IoT). Advanced level students studying these topics benefit from this book as well.
Mobility Data-Driven Urban Traffic Monitoring
Language: en
Pages: 69
Authors: Zhidan Liu, Kaishun Wu
Categories: Artificial intelligence
Type: BOOK - Published: 2021 - Publisher: Springer Nature

This book introduces the concepts of mobility data and data-driven urban traffic monitoring. A typical framework of mobility data-based urban traffic monitoring is also presented, and it describes the processes of mobility data collection, data processing, traffic modelling, and some practical issues of applying the models for urban traffic monitoring.
Implementing Data-Driven Strategies in Smart Cities
Language: en
Pages: 254
Authors: Didier Grimaldi, Carlos Carrasco-Farré
Categories: Social Science
Type: BOOK - Published: 2021-09-18 - Publisher: Elsevier

Implementing Data-Driven Strategies in Smart Cities is a guidebook and roadmap for practitioners seeking to operationalize data-driven urban interventions. The book opens by exploring the revolution that big data, data science, and the Internet of Things are making feasible for the city. It explores alternate topologies, typologies, and approaches to
Data-Driven Traffic Engineering
Language: en
Pages: 192
Authors: Hubert Rehborn, Micha Koller, Stefan Kaufmann
Categories: Transportation
Type: BOOK - Published: 2020-10-23 - Publisher: Elsevier

Data-Driven Traffic Engineering: Understanding of Traffic and Applications Based on Three-Phase Traffic Theory shifts the current focus from using modeling and simulation data for traffic measurements to the use of actual data. The book uses real-world, empirically-derived data from a large fleet of connected vehicles, local observations and aerial observation
Urban Transport XXVI
Language: en
Pages: 230
Authors: S. Syngellakis
Categories: Transportation
Type: BOOK - Published: 2020-11-24 - Publisher: WIT Press

A continuous requirement for better urban transport systems and the need for a healthier environment has resulted in an increasing demand for new solutions. Innovative systems, new approaches and original ideas need to be thoroughly tested and critically evaluated before they can be implemented in practice. Moreover, there is a
Computer-based Modelling and Optimization in Transportation
Language: en
Pages: 489
Authors: Jorge Freire Sousa, Riccardo Rossi
Categories: Technology & Engineering
Type: BOOK - Published: 2014-02-20 - Publisher: Springer Science & Business Media

This volume brings together works resulting from research carried out by members of the EURO Working Group on Transportation (EWGT) and presented during meetings and workshops organized by the Group under the patronage of the Association of European Operational Research Societies in 2012 and 2013. The main targets of the