TraSER: A traffic signal event-based recorder | Zendy

Chenhui Liu | Zendy; Anuj Sharma | Zendy; Edward Smaglik | Zendy; Sirisha Kothuri | Zendy

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TraSER: A traffic signal event-based recorder

Author(s) -

Chenhui Liu,

Anuj Sharma,

Edward Smaglik,

Sirisha Kothuri

Publication year - 2016

Publication title -

softwarex

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.528

H-Index - 21

ISSN - 2352-7110

DOI - 10.1016/j.softx.2016.09.001

Subject(s) - computer science , event (particle physics) , signal (programming language) , real time computing , detector , field (mathematics) , data acquisition , traffic signal , data collection , event data , resolution (logic) , controller (irrigation) , signal timing , telecommunications , artificial intelligence , operating system , timestamp , statistics , physics , mathematics , quantum mechanics , pure mathematics , agronomy , biology , programming language

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

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