摘要: |
Description: Using data from the pedestrian crash characterization, researchers will deploy image detection technology on corridors with more frequent pedestrian crash patterns to determine the extent of the crossing maneuvers. One issue that is faced in all pedestrian studies is the lack of exposure data for pedestrians. This study will seek to provide this data to allow for safety prediction model development to support cost/benefit analysis for short term solutions. Simultaneous to the exposure data collection, researchers will conduct a thorough assessment of existing vehicle based detection technologies to determine the efficacy of these systems for particular types of vehicle and pedestrian interactions. Similar assessments will also cover pedestrian to vehicle technologies. The final step will be to conduct simulations to determine the safety gains possible from various levels of penetration of the pedestrian sensing technologies based on their efficacy for different types of crashes. Throughout the project, researchers will continually assess consequences and advantages of these systems for individuals with physical and cognitive disabilities. Subsequently, this research will identify gaps in current sensing technologies for various pedestrian crash factors and future research needs statements will be developed.
Intellectual Merit: This research will assess safety benefits and shortcomings of new sensing technologies to reduce pedestrian crossing fatalities at midblock locations where they are most vulnerable to injury and death from motor vehicle crashes, and provide recommendations for cost-effective short term infrastructure and technology adoption.
Broader Impacts: The outcomes of this analysis will help to identify where the problem areas are around the state, what roadway design features are most common at crash sites, and which population demographics are most at risk. |