The optimization of traffic count locations in multi-modal networks

Thomas Koch*, Rob Van Der Mei, Elenna Dugundji

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

In this paper we will investigate ways to optimize the placement and number of traffic counters used in multi-modal transportation analysis studies for motorized vehicles, bicycles and pedestrians. The goal is to strike a balance between using as few as possible traffic counters for economical efficiency and deploying more counters which could collect more data. By using shortest path algorithms to determine the paths between the centroids of statistical divisions, we derive from origin-destination matrices which traffic is flowing from where to where over which links in a multi-modal network. Using centrality measures such as betweenness, we determine the links in the transportation networks that capture the most useful traffic in terms of as much unique traffic as possible. Next we look at ways to implement additional criteria in the selection of locations: those that are permanently covered, locations that were used for previous studies in prior years for which historical analyses can be made, and locations that capture more than one modality for vehicles, bicycles and pedestrians. Finally we study groups of traffic counters organized in screen-lines.

Original languageEnglish
Pages (from-to)287-293
Number of pages7
JournalProcedia Computer Science
Volume130
Issue numberSpecial Issue
DOIs
Publication statusPublished - Jun 2018
Event9th International Conference on Ambient Systems, Networks and Technologies, ANT 2018 - Porto, Indonesia
Duration: 8 May 201811 May 2018

Bibliographical note

Part of special issue:
The 9th International Conference on Ambient Systems, Networks and Technologies (ANT 2018) / The 8th International Conference on Sustainable Energy Information Technology (SEIT-2018) / Affiliated Workshops. Edited by Elhadi Shakshuki, Ansar Yasar

Funding

We would like to acknowledge the City of Amsterdam for their support, with special thanks to Bas Bussink, Eric de Kievit, Laurens Peijs and Stefan Verduin.

Keywords

  • bicycling
  • multi-modal networks
  • origin-destination matrix
  • pedestrians
  • screen-line
  • traffic counter

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