Study on DID Application Methods for Blockchain-Based Traffic Forensic Data

Traffic accident investigation has been used to reconstruct the cause and condition of by using images driving record data that introduce IT technology, analyze both sides accident, skid marks, vehicle damage identify perpetrators victims. However, level 3 self-driving vehicles are most important factor in determining imputation driver or manufacturer with control information at time accident. It is also developing into a network connected various restrictions such as burden price sensors equipped cars climate rapidly changing road traffic information. In addition, stored on outside, devices installed store outside for convenience operation, efforts enact laws continuing. This paper attempts propose digital framework generated these sensors.