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© 2019

Data Analytics: Paving the Way to Sustainable Urban Mobility

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

  • Eftihia G. Nathanail
  • Ioannis D. Karakikes

Benefits

  • 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

Conference proceedings CSUM 2018

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

Table of contents

  1. Front Matter
    Pages i-xxi
  2. Data-Driven Infrastructure Management

    1. Front Matter
      Pages 1-1
    2. Hector Monterde-i-Bort, Socrates Basbas, Charlotta Johansson, Lars Leden, Per Gårder
      Pages 3-10
    3. Socrates Basbas, Konstantinos Takatzoglou, George Mintsis, Christos Taxiltaris, Ioannis Politis
      Pages 11-18
    4. Spyridon Vougias, Konstantina Anastasiadou, Giorgos Vergas
      Pages 27-34
    5. Anastasios Tsiropoulos, Apostolos Papagiannakis, Dionysis Latinopoulos
      Pages 35-43
    6. Michael Kloeppel, Jan Grimm, Severin Strobl, Rico Auerswald
      Pages 44-52
  3. Transport Data and Analytics

    1. Front Matter
      Pages 53-53
    2. Poulicos Prastacos, Apostolos Lagarias
      Pages 79-88
    3. Alberto Bertolin, Samuel Tolentino, Paolo Beria, Eleonora Perotto, Fabio Carlo Guereschi, Paola Baglione et al.
      Pages 89-97
    4. Efterpi Damaskou, Ioannis Karagiotas, Maria Perpinia, Fotini Kehagia
      Pages 104-111
    5. Nazmul Haque, Md. Hadiuzzaman, Md. Yusuf Ali, Farhana Mozumder Lima
      Pages 112-120
  4. Big Data and Transport Modelling

    1. Front Matter
      Pages 121-121
    2. Livia Mannini, Ernesto Cipriani, Umberto Crisalli, Andrea Gemma, Giuseppe Vaccaro
      Pages 131-138

About these proceedings

Introduction

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 

Keywords

Big Data for Mobility Eco-Driving Systems Evaluating Emissions Impact Connected and Autonomous Vehicles Electric Mobility Floating Data Traffic Safety Assessment ITS for Sustainable Development Travel Demand Prediction Traffic Flow Estimation Traffic Simulation Improving Mobility Experience Modeling Urban Transportation Networks Soft Transport Policy Measures GLOSA-Algorithms Applications Demand Responsive Systems Blockchain Infrastructure for Transportation Cycling and Walking Data Analysis Geo-positioning and Geo-information in Transportation Planning Smart Logistics Measures

Editors and affiliations

  • Eftihia G. Nathanail
    • 1
  • Ioannis D. Karakikes
    • 2
  1. 1.Department of Civil Engineering, Traffic, Transportation and Logistics Laboratory (TTLog)University of ThessalyVolosGreece
  2. 2.Department of Civil Engineering, Traffic, Transportation and Logistics Laboratory (TTLog)University of ThessalyVolosGreece

Bibliographic information

Industry Sectors
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