Quantitative analysis of smooth progression in traffic signal systems

Byungho Beak, Kenneth L Head, Sara Khosravi

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Traffic signal coordination has been widely used to provide smooth progression for platoons on signalized arterials to enhance performance measures such as travel times, number of stops, and delay. Considering smooth progression as the significant factor of coordination, many studies have been conducted to measure the quality of progression. However, none of these studies concentrated on measuring a continuous smooth driving pattern of each vehicle in terms of speed. In order to quantify the smoothness, this paper conducted an analysis of the speed variation of vehicles traveling along a corridor. A new measure, called the smoothness of the flow of traffic (SOFT), was introduced and evaluated for different kinds of traffic control systems. The measure can be used to evaluate how smoothly vehicles flow along a corridor based on the frequency content of vehicle speed. To better understand the impact of vehicle mode, a multimodal analysis was conducted using the SOFT measure. This study was conducted using a simulation model and a system where vehicle trajectory data are available for computing SOFT.

Original languageEnglish (US)
Article number04017082
JournalJournal of Transportation Engineering Part A: Systems
Volume144
Issue number3
DOIs
StatePublished - Mar 1 2018

Fingerprint

Traffic signals
Signal systems
traffic
Chemical analysis
traffic control
simulation model
control system
travel
Traffic control
Travel time
Trajectories
performance
Control systems

Keywords

  • Connected vehicle
  • Fourier transform
  • Multimodal assessment
  • Smooth progression measurement
  • Traffic signal coordination

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Transportation

Cite this

Quantitative analysis of smooth progression in traffic signal systems. / Beak, Byungho; Head, Kenneth L; Khosravi, Sara.

In: Journal of Transportation Engineering Part A: Systems, Vol. 144, No. 3, 04017082, 01.03.2018.

Research output: Contribution to journalArticle

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