:Real time data sharing between vehicles through V2V communication has been presented as apossible solution to improve traffic efficiency and reduce road safety issues which are major problems incontemporary transportation systems on account of rapid growth in vehicle traffic. This paper describes a realtime V2V communication system implementation that uses wireless communication technologies to enablevehicles to transmit vital information, including position, speed, and emergency alarms. The system helpsincrease drivers' situational awareness and their proactive decision-making by providing low-latency, secure,and reliable message transmission. Results from experiments show better reaction times, less chance ofaccidents, and better traffic flow. V2V communication offers collision avoidance techniques that are quickerand more efficient than those found in traditional warning systems. The suggested solution is intended tosupport the advancement of Intelligent Transportation Systems (ITS) by being scalable and responsive tovarious traffic situations. Furthermore, security measures like authentication and encryption are put in place tostop data manipulation and unwanted access. To find the best strategy for real-time applications, the study alsoinvestigates a number of wireless communication protocols, such as LoRa, Wi-Fi, and DSRC. In order tofurther improve transportation efficiency and safety, future improvements will incorporate AI-based predictiveanalytics and expand into Vehicle-to-Infrastructure (V2I) communication.