The regulation on Automated Lane Keeping Systems (UN R157) requires that in case of an event in which the vehicle is at imminent collision risk, the system is to perform an Emergency Manoeuvre (EM) for the purpose of avoiding or mitigating a collision. In this study, a DS (Driving Simulator) experiment was conducted to investigate the subjective evaluation when the override by the driver's steering during EM braking control was cancelled. Forty-two people participated in the experiment. Experimental conditions were with and without adjacent vehicles when EM was activated. Regarding the degree of satisfaction with the system, including the cancellation of override, under the condition “with” an adjacent vehicle, 4 out of 8 (50.0%) responded from "slightly satisfied" to "satisfied", and under the condition “without” an adjacent vehicle, 7 out of 10 people (70.0%) responded from “dissatisfied” to “very dissatisfied”. Various opinions were obtained on the suppression of driver intervention, and these are presented below.

This paper presents an effective testing methodology aimed at enhancing the development of a more advanced Automated Driving System (ADS). This is achieved through the generation of both intricate and challenging scenarios using a virtual test platform. Given the challenges associated with identifying and accumulating these scenarios via field operational tests, the a virtual test platform is expected to be a valuable approach for enhancing the performance of ADS. However, thea virtual test platform must provide appropriate scenarios in accordance with the current performance capabilities of the respective ADS. To address this, the current research has realized a virtual test platform by integrating a multi-agent traffic simulation with ADS. This integration incorporates functionalities that enable ADS to effectively navigate complex and perplexing scenario. The results of this study reveal that these functionalities not only facilitate the extraction of rare scenarios but also to reinforce significant diversification required to develop sophisticated ADS.

A driver's emotional state is an important factor of safe driving. Many studies have been carried out to understand the relationship between human driving performance and emotional state. Meanwhile, Level 3 automated driving systems have only recently become practical. While safety is expected to improve year by year, the system suddenly requesting that the driver takes-over can be dangerous. Moreover, emotional states can affect the take-over situation. In this study, we introduce a study to investigate take-over performance according to the human emotional state.

According to UN-ECE WP29, autonomous vehicle systems, under their operational design domain, shall not cause any traffic accidents resulting in injury or death that are reasonably foreseeable and preventable. To realize this principle, a safety assurance framework for autonomous driving systems was published as ISO 34502 in Nov. ’2022. In this report, the contents of ISO 34502 are reviewed, and methodologies for safety assurance developed by Japanese experts, JAMA and SAKURA, for safety assurance are introduced. Also, the current status of related international standardization activities by ISO/TC22/SC33/WG9 is introduced.

The Safety Design and Evaluation Guidebook systematically summarizes a series of implementation items, implementation methods, essential points, and implementation examples to create designs for ensuring the safety required for automated driving mobile services reliably and efficiently. The Guidebook aims to be used as a "reference and guide" for automated driving service providers and automated driving vehicle developers with limited knowledge and experience in safety design. This manuscript introduces an overview of the first edition of the Guidebook, the table of contents, and a part of Chapters 1, 3, 4, and 5.