According to the Global Status Report on Road Safety 2018 provided by the World Health Organization (WHO), road traffic death is the 8th leading cause of death for all age groups. Therefore, there has been a growing interest in a field of intelligent traortation systems (ITS) in order to reduce traffic congestion, accidents, air and noise pollution and other environmental concerns. Currently, radio frequency (RF)-based technology is the most adaptive candidate for vehicular communications. Apart from the existing RF-based wireless communications, there is an alternative and complementary vehicle to vehicle (V2V) communications based on the optical camera communication (OCC) technology. Typically, an OCC-based communication system is composed of a light-emitting diode (LED) as a transmitter and a camera as a receiver. The OCC technology offers a number of advantages over the RF-based technology. there are: greater bandwidth, reduced levels of interference, less complex and lower cost. Nowadays, almost all new vehicles come with back and front cameras and LED-based lights. Therefore, these cameras can be effectively utilized within the remit of ITS, for multiple functionalities of imaging, video streams, outdoor localization and data transmission. However, due to the low frame rates particularly in off-the-shelf cameras, OCC systems have their limitations including light flickering and lower data rates. In order to address these limitations, cameras with the rolling-shutter effect and dedicated modulation schemes can be used. In OCC systems, many parameters have an impact on the system performance. However, few papers have investigated the influence of camera settings in OCC systems, which is the subject of this work. Here, a V2V OCC-based system is modeled, considering a LED with Lambertian radiation pattern in the transmitter side, a CMOS camera in the receiver side, the channel attenuation and the camera noise sources. The impact of parameters such as camera exposure time, resolution, image sensor size, lens dimension, transmitted power and atmospheric attenuation coefficient are investigated. Visible Light Communication (VLC), Optical Camera Communication (OCC), Intelligent Traortation System (ITS), Image Sensor.
