Title :
Feasibility of GPS-based warning system for roadside workers
Author :
Jason Forsyth;Tom Martin;Darrell Bowman
Author_Institution :
Dept. of Electrical and Computer Engineering, Virginia Tech Blacksburg, VA 24061
Abstract :
Roadside workers and emergency responders, such as police and emergency medical technicians, are at significant risk of being struck by vehicular traffic while performing their duties. While recent work has examined active and passive systems to reduce pedestrian collisions, current approaches require line of sight using either laser, infrared, or vision based systems. We address this problem by developing a GPS-based solution that equips roadside workers and vehicles with GPS units to estimate the trajectory of oncoming traffic, and estimate whether worker strike is imminent. The results of our study show that our approach is 91% accurate in alerting the worker and vehicle of collisions and near misses. Furthermore, accurate warnings can be provided 5-6 seconds before any potential collision, allowing time for mitigating solutions.
Keywords :
"Vehicles","Global Positioning System","Trajectory","Roads","Alarm systems","Accuracy","Mathematical model"
Conference_Titel :
Connected Vehicles and Expo (ICCVE), 2014 International Conference on
DOI :
10.1109/ICCVE.2014.7297507