Innovative Web Applications for Analyzing Traffic Operations

  • Natasha Petrovska
  • Aleksandar Stevanovic
  • Borko Furht

Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Natasha Petrovska, Aleksandar Stevanovic, Borko Furht
    Pages 1-2
  3. Natasha Petrovska, Aleksandar Stevanovic, Borko Furht
    Pages 3-21
  4. Natasha Petrovska, Aleksandar Stevanovic, Borko Furht
    Pages 23-31
  5. Natasha Petrovska, Aleksandar Stevanovic, Borko Furht
    Pages 33-38
  6. Natasha Petrovska, Aleksandar Stevanovic, Borko Furht
    Pages 39-46
  7. Natasha Petrovska, Aleksandar Stevanovic, Borko Furht
    Pages 47-48
  8. Back Matter
    Pages 49-52

About this book

Introduction

In response to the need to improve road traffic operation, researchers implement advanced technologies and integration of systems and data, and develop state-of-the-art applications to assist traffic engineers. This SpringerBrief introduces three novel Web applications which can be an exceptional resource and a good visualization tool for traffic operators, managers, and analysts to monitor the congestion, and analyze incidents and signal performance measures. The applications offer more detailed analysis providing users with insights from different levels and perspectives. The benefit of providing these automated and interactive visualization tools is more efficient estimation of the local transport networks’ performance, thus facilitating the decision making process in case of emergency events. 

Keywords

Road Traffic Congestion Maps Visualization Image Processing Signal Performance Measures Volume-to-Capacity Ratio Level of Service Number of Cycles to Wait Traffic Incidents Traffic Operation Analysis

Authors and affiliations

  • Natasha Petrovska
    • 1
  • Aleksandar Stevanovic
    • 2
  • Borko Furht
    • 3
  1. 1.Florida Atlantic UniversityBoca RatonUSA
  2. 2.Florida Atlantic UniversityBoca RatonUSA
  3. 3.Florida Atlantic UniversityBoca RatonUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-33319-9
  • Copyright Information The Author(s) 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-33318-2
  • Online ISBN 978-3-319-33319-9
  • Series Print ISSN 2191-5768
  • Series Online ISSN 2191-5776
  • About this book
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