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600451-00010-1 Report Abstract

Enhanced Adaptive Signal Control Using Dedicated Short-Range Communications

Yunlong Zhang and Kamonthep Tiaprasert, May, 2014

Connected vehicle technology with dedicated short-range communications can provide traffic information in a spatial domain that conventional fixed-point detectors cannot provide. However, because of low market penetration with this new data source, new measures to obtain other traffic parameters and new methodologies to use these new data for better signal control are needed. Arterial roads with multiple intersections and coordinate systems can benefit from these spatial domain data as it allows vehicles to move without being stopped.

For a heterogeneous traffic flow, multi-class cell transmission (M-CTM) is used to optimize signal timing control. M-CTM should work well in modeling traffic flow with signal coordination along an arterial where the platoon dispersion effect is significant and has to be accounted for in order to achieve accurate modeling results. Furthermore, queue length estimation was developed to use connected vehicle data without relying on a conventional detector. Lastly, an adaptive signal control based on the queue length estimation and connected vehicle technology was developed and compared with the pre-timed signal in various traffic conditions. The results show that the proposed control logic works well in both the free-flow condition and the congested condition, can decrease total delay, and can prevent queue overflow.


Keywords:  Connected Vehicle, Adaptive Signal Control,Queue Estimation, Discrete Wavelet Transform

ENTIRE REPORT (Adobe Acrobat File – 2.6 MB)