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TraSER: A traffic signal event-based recorder
Software X
  • Anuj Sharma, Iowa State University
  • Chenhui Liu, Iowa State University
  • Edward Smaglik, Northern Arizona University
  • Sirisha Kothuri, Portland State University
Document Type
Article
Publication Version
Published Version
Publication Date
1-1-2016
DOI
10.1016/j.softx.2016.09.001
Abstract

In the past decades, the demand for high-resolution event-based traffic signal indication and detector data has increased due to the need for the collection and reporting of performance measures. This paper will first lay a groundwork for why this type of data acquisition is important, followed by the introduction of a new low-cost, user-friendly, high-resolution traffic signal event-based recorder—TraSER, with integrated video. This paper describes TraSER’s structure, operating principles, and field applications. TraSER allows researchers to be able to collect high-resolution event-based controller data at signalized intersections easily and conveniently. The paper concludes with a discussion on future expansion of TraSER.

Comments

This article is published as Liu, Chenhui, Anuj Sharma, Edward Smaglik, and Sirisha Kothuri. "TraSER: a traffic signal event-based recorder." SoftwareX 5 (2016): 156-162. 10.1016/j.softx.2016.09.001. Posted with permission.

Creative Commons License
Creative Commons Attribution-NonCommercial 4.0 International
Copyright Owner
The Authors
Language
en
File Format
application/pdf
Citation Information
Anuj Sharma, Chenhui Liu, Edward Smaglik and Sirisha Kothuri. "TraSER: A traffic signal event-based recorder" Software X Vol. 5 (2016) p. 156 - 162
Available at: http://works.bepress.com/anuj_sharma1/50/