TraSER: A traffic signal event-based recorder

Chenhui Liu, Anuj Sharma, Edward Smaglik, Sirisha Kothuri

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)156-162
Number of pages7
JournalSoftwareX
Volume5
DOIs
StatePublished - May 28 2016

Keywords

  • Event
  • Signalized intersection
  • TraSER
  • Traffic signal

ASJC Scopus subject areas

  • Software
  • Computer Science Applications

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