PURPOSES : Accidents involving autonomous vehicle continue to occur. However, research on autonomous vehicle monitoring has been insufficient. The purpose of this study is to develop monitoring indicators from the perspective of vehicles and road infrastructure for the safe driving of autonomous vehicles. In addition, the purpose is to monitor autonomous vehicles and road environments using the monitoring indicators developed, as well as to analyze the characteristics of road sections where autonomous vehicles exhibit abnormalities. METHODS : Data from Pangyo Zero Shuttle, an autonomous vehicle, were used in this study. Infrastructure data installed in Pangyo Zero City were used. The data were collected from June 2019 to July 2019, during the normal driving period of the zero shuttle. The five monitoring indicators were developed by combining the vehicle operation information table collected from the V2X device of the zero shuttle and the road environment monitoring detail table collected from the infrastructure data with the road section table. In addition, an analysis of road characteristics with frequent errors is performed for each monitoring indicator. RESULTS : The three monitoring indicators from the perspective of the vehicle allowed monitoring of the sensor error, sensor communication error, and yaw rate error of the autonomous vehicle's timing and road section. In addition, the two monitoring indicators from the infrastructure perspective enabled the monitoring of events and road surface conditions on roads where autonomous vehicles drive. As a result of analyzing the road characteristics that frequently caused errors by monitoring indicators, sensor errors frequently occurred in the section waiting to enter the left-turn lane. Sensor communication errors are left-turn standby and have occurred frequently on road sections where U-turns are allowed. Finally, yaw rate error occurred frequently in sections of roads where there were no induction lines or where changes to lanes occurred frequently. CONCLUSIONS : The five monitoring indicators developed in this study allowed the monitoring of autonomous vehicles and roads. The results of this study are expected to help the safe driving of autonomous vehicles and contribute to the detection of autonomous driving abnormalities and the provision of real-time road condition information through further analysis.

PURPOSES: Owing to the growth of income and socio-economic levels, demands from road users have diversified. Accordingly, new road policies are being actively sought. The metropolitan city government of Busan has been focused on constructing and expanding roads to accommodate the increasing traffic demand. Given the increase in functional characteristics, we need to re-evaluate the hierarchy and function of roads, and specifically remodel the road planning and operations that fit into their functions.METHODS : First, this study focuses on introducing the minimum condition required to redefine the hierarchy of the roads. Second, the authors propose a new model that identifies the impact level of road hierarchy adopting discriminated analysis technique.RESULTS: Authors suggest that we redefine the hierarchy of roads in the central business distinct in Busan, and specifically the arterial roads in Busan, namely, Joonang-daero and Gaya-ro. These roads need to be reequipped with cross walks, a lower speed limit, and exclusive bus lanes to improve their accessibility.CONCLUSIONS: The authors found that the sub-arterial and collector roads have been subjected to excessive loads, owing to inappropriate functions being assigned to the main arterial road. Moreover, given that through traffic is concentrated on the sub-arterial and collector roads, over-speeding and other safety issues are consequently created.

PURPOSES: The purposes are to analyze the pedestrian accident severity and to develop the accident models by arterial road function. METHODS: To analyze the accident, count data and ordered logit models are utilized in this study. In pursuing the above, this study uses pedestrian accident data from 2007 to 2011 in Cheongju. RESULTS : The main results are as follows. First, daytime, Tue.Wed.Thu., over-speeding, male pedestrian over 65 old are selected as the independent variables to increase pedestrian accident severity. Second, as the accident models of main and minor arterial roads, the negative binomial models are developed, which are analyzed to be statistically significant. Third, such the main variables related to pedestrian accidents as traffic and pedestrian volume, road width, number of exit/entry are adopted in the models. Finally, Such the policy guidelines as the installation of pedestrian fence, speed hump and crosswalks with pedestrian refuge area, designated pedestrian zone, and others are suggested for accident reduction. CONCLUSIONS: This study analyzed the pedestrian accident severity, and developed the negative binomial accident models. The results of this study expected to give some implications to the pedestrian safety improvement in Cheongju.