For early social implementation of advanced automated vehicles (Level 3 or higher) with a system that has a duty to monitor its surroundings, both a design method and an evaluation method that can reliably guarantee safety are necessary.　In the ''Research and Development Project for the Construction of Safety Evaluation Technologies for Automated Driving Systems (FY 2018-2020),'' a project commissioned by the Ministry of Economy, Trade and Industry, research, development, and verification of the processes and methods necessary for safety evaluation of automated driving systems (Level 3 or higher) were conducted as a collaborative area. Specifically, a scenario-based safety evaluation method was studied, and actual traffic flow data were collected and analyzed to support the scenarios and various parameters associated with them. In particular, traffic disturbance data (e.g., vehicle trajectory data) were collected to analyze traffic disturbance scenarios related to the risk of collisions between vehicles. In the first report, the characteristics, methods, and data quality (accuracy, etc.) of traffic disturbance data collection by fixed-point camera observation were introduced for expressways and freeways, which are expected to be put into practical use relatively quickly. In this study, in order to determine whether it is possible to collect traffic disturbance data (trajectory data of traffic participants) by similar fixed-point observation on general roads, where the road structure and the types and behaviors of traffic participants are much more complex, we attempted to collect traffic disturbance data by various types of fixed-point observation at a general road intersection on a trial basis. In the second report, we present the results of this study. In this second report, we present the results of this basic study.

View full abstract

[in Japanese]

View full abstract

Since 2012, JARI has started a training program for the road vehicle functional safety standard ISO 26262, and a total of about 3000 people have taken the training. In 2020, all training was made online, and we were able to provide students with new services that take advantage of online features. We will continue to create new services and contribute to human resource development in the automotive industry.

View full abstract

[in Japanese]

View full abstract