Vehicle-to-Infrastructure connected smart cameras for intersection monitoring: concept study

Infrastructure can obtain and share information about crashes, traffic jams, sharp curves and recommended speed. We can also dynamically change recommended speed based on weather or hazardous conditions. When mentioning something that is smart, by any means, it should have some specific features different from the ordinary monitoring. To take advantage of the full benefit of connected and automated vehicles, we need the infrastructure to be outfitted and that eventually confirms there is no smart city without smart camera. The whole concept of this thesis exercise is about connection between the smart camera that is in infrastructure and the vehicles on the road. This thesis exercise was developed in FEV Italia s.r.l company which is internationally recognized and a leader in vehicle systems. The exercise has been performed in Green Research Mobility Laboratory. We worked on the concept study to make connection between smart camera for the purpose of intersection monitoring and our vehicle to receive warning messages to prevent collision. We worked with two different V2X standards to send warning messages to the vehicles. Final section of this thesis exercise is developed with MATLAB interface to detect the time that these two vehicles will collide and the time that the camera will detect the second vehicle and subsequently sends the warning message to the first vehicle. Then we calculated the maximum latency to find out which standard fits best in our purpose with lesser delay. The proven and result in this thesis will be implemented by FEV company.