Enabling WiFi P2P-Based Pedestrian Safety App

04/20/2018
by   Myounggyu Won, et al.
0

Recent studies reported a significant increase in the number of accidents caused by distracted walking. In this paper, we develop a mobile system that provides a timely warning to the pedestrian and the driver to reduce the chance of pedestrian-involved accidents. The proposed system performs pedestrian risk assessment to estimate the collision probability based on accurate user localization, user-phone-viewing event detection, and WiFi P2P-based vehicle to pedestrian communication. Depending on the resulting collision probability, the pedestrian (and the driver) is alerted to prevent accidents. The proposed system is implemented on a COTS smartphone, and experiments are conducted in a department parking lot. Experimental results demonstrate that it effectively calculates the collision probability and sends accordingly an alert message to the user in a timely manner leveraging its improved positioning accuracy, energy efficiency, and effective user context awareness.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset