A New Vehicle-to-Vehicle Communication Technology Based on Binary Light Code Protocol

Abstract: The rapid expansion of Connected and Autonomous Vehicles (CAVs) has brought into focus the need for robust, efficient communication frameworks. This study introduces the Visual-Enhanced Cooperative Traffic Operations (VECTOR) system, a groundbreaking method for vehicle-to-vehicle communication that employs binary codes displayed on LED panels to convey dynamic vehicle information. The VECTOR system is predicated on a three-tiered methodology: real-time data collection, polynomial fitting of velocity data, and encoding this data into a binary format via Cyclic Redundancy Check (CRC). We carried out empirical tests using modified Lincoln MKZ hybrids to validate the system’s effectiveness. Results indicate an 80% accuracy rate in replicating the original velocity data. This research also situates VECTOR within the larger ecosystem of cooperative driving automation (CDA) technologies, drawing attention to the high costs and infrastructural challenges of existing solutions. VECTOR demonstrates advantages over traditional communication technologies, such as Cellular Vehicle-to-Everything (C-V2X) and Dedicated Short Range Communication (DSRC), especially in light of recent bandwidth restrictions imposed by the Federal Communications Commission (FCC). In addition, VECTOR offers enhanced security features, mitigating vulnerabilities to cyber-attacks and information errors. Utilizing existing onboard cameras and controller units, VECTOR offers a cost-effective, secure, and efficient solution for CAV communications. This research posits VECTOR as a pivotal advancement in CDA technologies, aligning with the broader goals of safer, more efficient, and economically viable autonomous transportation systems.