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DETERMINATION OF HIGHWAY BOTTLENECKS BY USING INTELLIGENT TRANSPORTATION SYSTEMS AND GEOGRAPHIC INFORMATION SYSTEMS

  • Abdullah Maltaş*
  • , Halit Ozen
  • *Corresponding author for this work
  • Yildiz Technical University

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

An occurrence of congestion at a highway segment, also named bottleneck, is one of the major problems of traffic. As a result of the bottlenecks, vehicle speeds are transparently decreased and its effects continue on the traffic flow by acting upstream or downstream as an interface for a while. Thus, negative effects are observed over the capacity of the highway segment where the bottleneck occurs until traffic flow returns to normal conditions again. Therefore, traffic engineers aim to avoid this major problem in design and operation of highways. Intelligent Transportation System (ITS) is an advanced application that is used to utilize existing infrastructure more effectively instead of building new infrastructures. Today, ITS has been one of the trend study fields thanks to the development of technology and through the spread of smart cities. Automatic Vehicle Location (AVL), a powerful tool to manage fleets such as service vehicles, emergency vehicles, or public transit vehicles, is a GPS-based technology within the context of the ITS. So, agencies and organizations can follow vehicles of their fleets by utilizing satellites. In this study, an AVL dataset, integrated into public transportation systems, and Geographic Information Systems (GIS) are used to detect bottlenecks in a highway segment in Istanbul. The results showed that if the locations of bus stops and traffic signals are known, the segments, where bottlenecks occur and congestion increases, may be determined by using AVL data.

Original languageEnglish
Pages (from-to)1925-1937
Number of pages13
JournalSigma Journal of Engineering and Natural Sciences
Volume38
Issue number4
Publication statusPublished - 2020
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2020 Yildiz Technical University. All Rights Reserved.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  2. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Automatic vehicle location
  • bottleneck detection
  • geographic information system
  • intelligent transportation system
  • traffic congestion

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