Configuration and Evaluation of Local Dynamic Map Platform for Connected Automated Driving in Urban Roads

Recently, researches are being actively conducted to increase the safety of roads and traffic by using collected information from external sources and vehicle itself (such as C-ITS vehicle (CV) and autonomous vehicle (AV)). In particular, autonomous driving technology is one of the heading technologies leading the Fourth Industrial Revolution. However, the confidence level of self-driving technology is low because the damage and casualties occur frequently. As a way to overcome this, cooperation between road and traffic infrastructure and Connected Automated Driving (CAV) is being introduced and gradually increased. However, due to sporadic research, the information platform is insufficiently established and the evaluation system for adequate information provision is also insufficient. In order to overcome this problem, the effectiveness measures for evaluating the autonomous driving information platform which is limited to the urban roads were established as promptness, accuracy, and safety. Through this, it is expected to support the construction of safer road and traffic environment and the delay of technology related to autonomous driving.