Traffic density estimation of signalised arterials with mid-link sinks and sources

Takahiro Tsubota, Ashish Bhaskar, Edward Chung

Research output: Unpublished conference presentation (presented paper, abstract, poster)Conference presentation (not published in journal/proceeding/book)Academic researchpeer-review

Abstract

This research aims to develop a reliable density estimation method for signalised arterials based on cumulative counts from upstream and downstream detectors. Although traffic density is a key variable for analyzing network performance, its estimation is still challenging due to counting errors associated with urban arterials with mid-link sinks and sources. In order to overcome the issue, CUmulative plots and Probe Integration for Travel timE estimation (CUPRITE) is employed for density estimation. CUPRITE reduces or cancels the counting inconsistencies when vehicles' conservation is not satisfied within a section by utilizing probe vehicles' samples. The method is tested in a controlled environment, and the authors demonstrate the effectiveness of CUPRITE for density estimation in a signalised section.

Original languageEnglish
Publication statusPublished - 1 Jan 2013
Externally publishedYes
Event20th Intelligent Transport Systems World Congress, ITS 2013 - Tokyo, Japan
Duration: 14 Oct 201318 Oct 2013

Conference

Conference20th Intelligent Transport Systems World Congress, ITS 2013
Country/TerritoryJapan
CityTokyo
Period14/10/1318/10/13

Keywords

  • Data fusion
  • Density estimation
  • Probe data
  • Signalised arterial

ASJC Scopus subject areas

  • Artificial Intelligence
  • Automotive Engineering
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Transportation
  • Computer Networks and Communications
  • Computer Science Applications

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