Paper Details

Automotive Industry is rapidly evolving and the next revolution is the autonomous vehicles. These vehicleswill make mobility of human and goods safer and convenient. Autonomous vehicles sense the environment throughvarious sensors and process the data for decision making. In this study the various surround sensors are studied in detailalong with its limitations. As these vehicles need to meet the safety standard ISO 26262, this study also focused on thevarious external threats to the network devices, sensors and the associated software.In a road architecture there are two standard system available in a cross junction i.e. Traffic signal and pedestriancrossing. In this study a new networking technology i.e., Low Power Wide Area Network is proposed for autonomousvehicles which can efficiently predict the traffic signal and pedestrian crossing without any sensor embedded inside thevehicle. This technology can cover wide area in orders of kilometers and also uses very less power compared toavailable networking systems. This network uses an end device fitted in the signal and adjacent to pedestrian crossingsending signals to the gateway installed in the vehicle and further connected the end server. Experiment are carried outusing LoRaWAN™ protocol in a virtual test bed environment to establish a connection between the end device and agateway. The results prove that implementation of LPWAN technology is a safer solution than utilizing complex andcostly surround sensor based system for detecting traffic signal and pedestrian crossing.

Ashiwini Ajeet P, Nandgaonkar Vikas N, Dhanashri Patil, S. B. Ingle, “Low Power Wide Area Network Architecture for Detection of Traffic Signal and Pedestrian Crossing in an Autonomous Vehicle”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 12, pp. 972-976, December 2017.