Multi-Level Conditional Transit Signal Priority in Connected Vehicle Environments

  • Zorica Cvijovic University of Wyoming, Department of Civil and Architectural Engineering
  • Milan Zlatkovic University of Wyoming, Department of Civil and Architectural Engineering
  • Aleksandar Stevanovic University of Pittsburgh, Department of Civil and Environmental Engineering
  • Yu Song University of Wisconsin, Department of Civil and Environmental Engineering
Keywords: Connected Vehicles, Transit Signal Priority, Bus Rapid Transit, VISSIM, ASC/3

Abstract

Connected Vehicles (CV) are an emerging technology with a large potential to improve traffic operations and safety. This paper develops and tests advanced CV-based multi-level conditional Transit Signal Priority (TSP). The algorithms are using the latitude/longitude (lat/lon) coordinates of CV vehicles and intersections to establish communication, share information and request priority. The TSP strategies are implemented through controllers’ built-in features and logic processor, using Econolite ASC/3 as a representative traffic signal controller. The tests were performed in VISSIM microsimulation with the ASC/3 Software-in-the-Loop (SIL) controller emulator. State Street in Salt Lake City, UT, is selected as a test-case corridor. The paper shows that the developed signal control priority (SCP) algorithms are successful in reducing delays for target vehicles in excess of 6%, without significant impacts on other traffic. The information obtained from CV vehicles can be used to further enhance control algorithms and create adaptive SCP programs.

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Published
2021-06-12
How to Cite
Cvijovic, Z., Zlatkovic, M., Stevanovic, A., & Song, Y. (2021). Multi-Level Conditional Transit Signal Priority in Connected Vehicle Environments. Put I Saobracaj, 67(2), 1-12. https://doi.org/10.31075/PIS.67.02.01