Developing DSRC Enabled Technologies for Vehicle and Pedestrian Safety Systems
Bochen Jia, PhD
Assistant Professor, Industrial and Systems Manufacturing Engineering, U-M Dearborn
May 2016 – April 2018
Yi Lu Murphey, PhD
Associate Dean and Professor, Electrical and Computer Engineering, U-M Dearborn
Shan Bao, PhD
Associate Research Scientist, U-M Transportation Research Institute
Weidong Xiang, PhD
Associate Professor, Electrical and Computer Engineering, U-M Dearborn
Explore practical solutions to improving the efficiency and accuracy of autonomous vehicle decision-making and pedestrian’s safety through the development of a vehicle-pedestrian integration system.
The following will be developed:
- A practical system to increase pedestrian positioning accuracy
- A human factor-based big data analytic method to classify pedestrian behavior
- A zone model to detect the pedestrian vehicle interaction threshold.
Field tests will also be completed to evaluate the existing hardware capacity and proposed system.
- An advanced pedestrian positioning system that can be attached to personal wearable devices
- An algorithm to classify pedestrian behavior
- An algorithm to identify the effective range for pedestrian-vehicle interaction
- A complete V2P system (at pedestrian end)