Estimating traffic signal phases from turning movement counters

Mostafa Reisi Gahrooei, Daniel B. Work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This work poses the problem of estimating traffic signal phases from a sequence of maneuvers recorded from a turning movement counter. Inspired by the part-of-speech tagging problem in natural language processing, a hidden Markov model of the intersection is proposed. The model is calibrated from maneuver observations using the Baum-Welch algorithm, and the trained model is used to infer phases via the Viterbi algorithm. The approach is validated through numerical and experimental tests, which highlight that good performance can be achieved when sufficient training data is available, and when diverse maneuvers are observed during each phase. The supporting codes and data are available to download at https://github.com/reisiga2/Estimating-phases-from-turning-movement- counts.

Original languageEnglish (US)
Title of host publication2013 16th International IEEE Conference on Intelligent Transportation Systems
Subtitle of host publicationIntelligent Transportation Systems for All Modes, ITSC 2013
Pages1113-1118
Number of pages6
DOIs
StatePublished - Dec 1 2013
Event2013 16th International IEEE Conference on Intelligent Transportation Systems: Intelligent Transportation Systems for All Modes, ITSC 2013 - The Hague, Netherlands
Duration: Oct 6 2013Oct 9 2013

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Other

Other2013 16th International IEEE Conference on Intelligent Transportation Systems: Intelligent Transportation Systems for All Modes, ITSC 2013
CountryNetherlands
CityThe Hague
Period10/6/1310/9/13

ASJC Scopus subject areas

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications

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