Implementation of lane-by-lane detection at actuated controlled intersections

Edward J. Smaglik, Darcy M. Bullock, James R. Sturdevant, Thomas Urbanik

Research output: Chapter in Book/Report/Conference proceedingChapter

7 Scopus citations

Abstract

Previous work with lane-by-lane detection has shown efficiency gains during periods of moderate to low volume, as well as a decrease in overall intersection delay when lane-by-lane detection is compared with traditional movement-based detection. This research extends that work with the implementation of lane-by-lane detection at the Indiana Department of Transportation's test bed intersection in Noblesville, Indiana. Over a 3-week period with traditional movement-based detection, green interval lengths, volume-to-capacity (v/c) ratios, and cycle lengths were computed for all eight phases. Detection and controller settings were changed to implement lane-by-lane detection on the multilane movements at the test bed, and the same measures of effectiveness were calculated for 3 weeks of lane-by-lane detection. Dornig free operation with low to moderate volume, statistically significant decreases in green durations and cycle times, as well as statistically significant increases in v/c ratios, were observed on movements with lane-by-lane detection. These implementation results corroborate previous simulation results.

Original languageEnglish (US)
Title of host publicationTraffic Signal Systems and Regional Transportation Systems Management
Pages81-87
Number of pages7
Edition2035
DOIs
StatePublished - Dec 1 2007
Externally publishedYes

Publication series

NameTransportation Research Record
Number2035
ISSN (Print)0361-1981

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Mechanical Engineering

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    Smaglik, E. J., Bullock, D. M., Sturdevant, J. R., & Urbanik, T. (2007). Implementation of lane-by-lane detection at actuated controlled intersections. In Traffic Signal Systems and Regional Transportation Systems Management (2035 ed., pp. 81-87). (Transportation Research Record; No. 2035). https://doi.org/10.3141/2035-09