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Data Analytics: Paving the Way to Sustainable Urban Mobility

Proceedings of 4th Conference on Sustainable Urban Mobility (CSUM2018), 24 - 25 May, Skiathos Island, Greece

  • Conference proceedings
  • © 2019

Overview

  • Reports on applications of big data and analytics in transportation modeling and traffic management
  • Covers a wide range of topics, from optimization to assessment of safety and mobility
  • Describes effective data-driven methods for modeling transportation
  • Addresses the implications associated to digitization and cyber security

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 879)

Included in the following conference series:

Conference proceedings info: CSUM 2018.

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Table of contents (105 papers)

  1. Data-Driven Infrastructure Management

  2. Transport Data and Analytics

  3. Big Data and Transport Modelling

Other volumes

  1. Data Analytics: Paving the Way to Sustainable Urban Mobility

Keywords

About this book

This book aims at showing how big data sources and data analytics can play an important role in sustainable mobility. It is especially intended to provide academicians, researchers, practitioners and decision makers with a snapshot of methods that can be effectively used to improve urban mobility. The different chapters, which report on contributions presented at the 4th Conference on Sustainable Urban Mobility, held on May 24-25, 2018, in Skiathos Island, Greece, cover different thematic areas, such as social networks and traveler behavior, applications of big data technologies in transportation and analytics, transport infrastructure and traffic management, transportation modeling, vehicle emissions and environmental impacts, public transport and demand responsive systems, intermodal interchanges, smart city logistics systems, data security and associated legal aspects. They show in particular how to apply big data in improving urban mobility, discuss important challenges in developing and implementing analytics methods and provide the reader with an up-to-date review of the most representative research on data management techniques for enabling sustainable urban mobility

Editors and Affiliations

  • Department of Civil Engineering, Traffic, Transportation and Logistics Laboratory (TTLog), University of Thessaly, Volos, Greece

    Eftihia G. Nathanail, Ioannis D. Karakikes

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