Intelligent Transportation Systems


Intelligent Transportation Systems Laboratory


Welcome to the ITS Lab web site at Portland State University. We've released our Annual Report for 2011-12. Read the report here.


Intelligent Transportation Systems Laboratory's Featured Project:

Evaluating Traffic Signal Improvements for Freight Mobility

Traditional models for traffic signal control consider all vehicles in a single class and operate in a simplified mode of operation. This mode of operation is a function of the information collected by the detection and the ability of the traffic signal controller to use advanced data. The use of video detection presents new opportunities for more strategic traffic control decisions by providing preferential treatment for freight vehicles. One reference to systems minimizing truck stops at signalized intersections was found in the existing literature. The system was developed and implemented at one signalized intersection in Sullivan City, Texas in order to address the issues connected with the increased truck traffic and resulting pavement damage, traffic delay and decreased safety at a signalized intersection. (Sunkari, Charara and Urbanik, 2001). Specifically, this system had an objective to minimize stops experienced by trucks at high-speed signalized intersections. It used loop detectors and a classifier to identify trucks approaching the intersection. This information was then used by an algorithm developed by the Texas Transportation Institute to minimize truck stops and traffic delay while improving safety, reducing pavement wear, and decreasing traffic delay. The before-after analysis showed that the system would pay for itself in less than two years (Sunkari, Charara

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