Intelligent Transportation Systems

ITS Lab @ PSU

Intelligent Transportation Systems Laboratory

A broad range of diverse technologies, known collectively as intelligent transportation systems (ITS), holds the answer to many of our society's transportation problems. ITS are comprised of existing and new technologies, including information processing, sensors, communications, control, and electronics. Combining these technologies in innovative ways and integrating them into our multimodal transportation system will save lives, time, and resources.Transportation is the backbone of our society the movement of people and goods provides the foundation of our quality of life and economic prosperity. Fulfilling the need for a transportation system that is both economically sound and environmentally efficient requires a new way of looking at and solving our transportation problems. The strategy of adding more and more highway capacity neither solves our transportation problems, nor meets the broad national vision of an efficient, integrated transportation system. We focus on the integration and improvement of all modes highway, transit, bicycle, pedestrian and freight.Traffic crashes and congestion take heavy tolls in lives, lost productivity, and wasted energy. ITS enables people and goods to move more safely and efficiently through a state-of-the-art, intermodal transportation system.

 
 

Intelligent Transportation Systems Laboratory's Featured Project:

Effects of Highway Illumination Reduction on Highway Safety Performance

In 2001, the Oregon Department of Transportation (ODOT) reduced illumination at select locations on Oregon interstate highways in response to a Governor's directive to conserve power. The illumination reduction occurred for various interchanges and highway sections between October 2001 and March 2002. The research establishes a baseline comparison using the simple before-after method of evaluation to determine if there were any significant changes in overall safety at the locations with reduced illumination and makes recommendations on future modeling efforts. The simple before-after study used ODOT crash data to test five study designs with varying 'before' and 'after' periods. No control sites of volumes were used in this preliminary analysis. The 'before' period ranged from 1 year to 5 years of data and the 'after' period ranged from 1 year to 2 years. It was found that only two study designs produced statistically reliable results. These were the designs with 5 years before and 2 years after and with 3 years before and 2 years after data. Both study designs show that an increase in crashes at the project locations and it was estimated to be between 7 percent and 22 percent with a statistical significance of 95 percent. While these results are an indication that crash frequencies have increased at the project locations during the study period; it cannot conclusively determin

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