PURPOSES : The purpose of this study is to propose a method of quantitative bus deceleration and acceleration time based on automatic vehicle location data generated by a bus operating system. METHODS : The digital tachometer graph (DTG) data of commercial vehicles and the bus departure and arrival time data collected through the Korean bus information system (BIS) were matched and utilized to accurately reflect the deceleration and acceleration position of the bus. It was determined whether the bus arrived (or departed) at bus stations based on the BIS data, and the acceleration and deceleration times were calculated by classifying the bus status section (deceleration-stop-acceleration-driving) based on the DTG speed data. RESULTS : The deceleration and acceleration times calculated using the proposed method were analyzed using the z-test for the bus type and peak and non-peak times. Notably, there was a difference in the acceleration time for each vehicle type. The results were compared with the reference values of TCQSM and the calculated values, and the results were similar. CONCLUSIONS : This study is meaningful in that it conducted basic research on calculating the acceleration and deceleration times by fusing currently available data. In addition, new types of buses that have not been presented in the existing reference values have the advantage of being able to be calculated without a separate investigation if only data are produced according to the current bus management system.

The event recording devices such as EDR and DTG have recently been developed and installed in automobiles. The reliability of EDR application is being conducted in many previous studies, but with the development and development of autonomous vehicles, it is necessary to study the reliability of EDR and DTG application results for programs that can analyze autonomous driving. Therefore, in this study, the analysis was carried out in a way to secure the reliability of the application results of EDR and DTG of Carmaker, which can analyze the traffic accident analysis program PC-Crash and autonomous driving, and secure the reliability of the Carmaker program that applied EDR in Korea and abroad. As a result of the analysis, it was found that the speed error rate gradually increased from high speed to low speed, and the maximum error speed was less than 5 km/h through the average error rate for each speed. In the future, it is thought that it can be usefully used for analysis of traffic accidents in the event of autonomous vehicle accidents.