01593354

Component

https://doi.org/10.3141/2558-02

Basic signal operation strategies allocate green time to different traffic movements to control the flow at an intersection. Signal control applications consider different objectives, such as coordination with multiple intersections, multimodal priority, and safety. Real-time signal control applications rely mainly on infrastructure-based detection data. With the emergence of connected vehicle technology, high-resolution data from connected vehicles will become available for signal control. This paper presents a framework that uses connected vehicle data for adaptive signal control and considers dilemma zone protection, multimodal signal priority, and coordination. Initially, the market penetration rate of connected vehicles will be low, so infrastructure-based detector actuation logic is integrated into the framework to improve performance. Simulation analysis demonstrated good results when the penetration rate was medium to high and that the actuation logic was necessary when the penetration rate was low.

01618024

16-3070

English

pp 11–19

2016

Transportation Research Record: Journal of the Transportation Research Board

9780309441315

Print

Figures (6) ; References (27)

Actuated traffic signal controllers; Data fusion; Dedicated short range communications; Market penetration; Mobile communication systems; Sensors; Traffic signal priority

Data and Information Technology; Highways; Operations and Traffic Management; Public Transportation; Safety and Human Factors

TRIS, TRB, ATRI

Jan 12 2016 5:22PM

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