Pedestrian Motion Detection & Pedestrian Communication (P2I & V2P)

This is the authors' abstract. We don't add key points for this paper.

In recent years, casualties from pedestrian accidents caused by vehicles is bit problematic. A comprehensive structure comprising of stochastic models, a responsive mechanism and typical scenarios using pedestrian-to-infrastructure (P2I) and vehicle-to-pedestrian (V2P) communication is suggested to increase pedestrian safety. Nonetheless, it is uncertain what’s the optimum way to transfer data from Vehicle/Infrastructure to pedestrians and vice versa. In this article we are presenting a prototype for P21 and I2P with the help of Pedestrian detection algorithm by using a Nordic-semiconductor thingy-sensor and an android phone (Note 5A). For motion detection of pedestrian, we developed a peak detection algorithm with LPF for jitter/interference removal. It indicates promising results for walking pedestrian with almost 99% accuracy. We will use that motion detection GPS coordinates of a pedestrian (Demo user) and vehicles and transmit those coordinates to Road Weather Station (RWS) or IOT cloud via cellular base station. Finnish Meteorological Institutes (FMI) uses a test track (1.7 Km) in Sodankylä, equipped with road weather stations and 5G test network. We would be able to send the warning alerts of a pedestrian to RWS database. These P2I and V2P pilot measurements would be conducted by using IEEE 802.11p and 5G test network. To evaluate the feasibility of the system; it would help to determine the use of above mentioned model and the responsive control method. P2I and V2P communication combined with 802.11p and 5G technology could improve the active pedestrian safety with developed algorithm.