Impact of Sensing Range on Real-Time Adaptive Control of Signalized Intersections Using Vehicle Trajectory Information

Advanced signal control algorithms are anticipated with the increasing availability of vehicle speed and position data from vehicle-to-infrastructure communication and from sensors. This study examines the impact of the sensing range, meaning the distance from the intersection that such data can be obtained, on the quality of the signal control. Two signal control methods, a Self-Organizing Algorithm (SOA) and Phase Allocation Algorithm (PAA), were implemented in simulation and tested to understand the impact of sensing ranges. SOA is based on fully-actuated control with secondary extension for vehicle platoons along the arterial. PAA uses dynamic programming to optimize phase sequences and duration within a planning horizon. Three different traffic scenarios were developed: symmetric, asymmetric, and balanced.  In general, both algorithms exhibited improvements in performance as the sensing range increased. Under the symmetric volume scenario, SOA converged at 1000 ft and PAA converged at 1500 ft. In asymmetrical and balanced scenarios, both algorithms outperformed conventional methods. Both algorithms performed better than coordinated-actuated control if the sensing range is 660 ft or higher. For low sensing ranges, SOA experiences similar delay compared to fully-actuated control with advance detector and PAA experienced more delay than coordinated-actuated control in symmetric and asymmetric scenario but performed better for asymmetric scenario. For the SOA, the sensing range may constrain the maximum allowable secondary extension, hence as the sensing range increases, the vehicular delay would decrease for arterial but increase for non-arterial movements. For PAA, arterial and non-arterial delay decreases with increase in sensing range until it converges.


  • English

Media Info

  • Media Type: Web
  • Features: Figures; References; Tables;
  • Pagination: 17p

Subject/Index Terms

Filing Info

  • Accession Number: 01764361
  • Record Type: Publication
  • Report/Paper Numbers: TRBAM-21-03373
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 23 2020 11:27AM