International and domestic trends of safety regulations on motor vehicles

Masafumi Matsusaka (MLIT)

Introduce the trends of international discussions and MLIT's efforts regarding automotive safety regulations towards reduction of deaths and injuries from road traffic accidents.

A Study on the Actual Situation and Trends of Pedal Operation Error Accidents based on Event Data Recorders and other data in Micro Investigations

Hideki Matsumura (NALTEC)･Motoki Sugiyama･Yakekazu Iwata (Institute for Traffic Accident Research and Data Analysis)

In recent years, pedal operation error accidents have become a social problem, but the specific situations of these accidents have not been fully understood. On the other hand, event data recorders (EDRs) have been installed in many recent vehicles, and it has become possible to understand the driver's operating conditions during the accident. we studied the actual conditions and trends of these accidents based on EDRs and other data obtained in micro investigations of the actual accident.

Advancing Automated Driving Systems development and safety evaluation with the Automated Mobility Partnership

Jacobo Antona-Makoshi･Gibran Ali･Kaye Sullivan･Vicki Williams (Virginia Tech Transportation Institute)･Alex Hatchett (Global Center for Automotive Performance Simulation)･Kevin Kefauver (Virginia Tech Transportation Institute)

The Automated Mobility Partnership (AMP) is a platform supporting the development and safety evaluation of automated driving systems. The AMP portal integrates events from over 35 million miles of naturalistic driving data and a decade of U.S. police-reported crash data curated by the Virginia Tech Transportation Institute. AMP provides remote access for advanced data analysis, visualization, scenario generation, and human driver benchmarking. This paper demonstrates AMP's utility in supporting the identification of hazardous behaviors, the development of driver monitoring strategies, the application of integrated scenario-based analyses, the definition of crash risk-based criteria, and conformance with safety standards.

Construction of Traffic Accident Risk Assessment Method for Road Alignment Using Digital Road Map

Ryoma Ohtani･Katsuma Ando･Ryoya Hara･Hiroshi Kuniyuki (Suwa University of Science)

Based on road alignment information from digital road maps, an assessment method for the risk of traffic accidents caused by road alignment, which are often found in hilly and mountainous areas, was constructed. The number of accidents per curve section was investigated and verified against accident risk index evaluated by the length of the straight section before the curve and the curve curvature. The results showed that the accident rate on curves can be evaluated using this accident risk index.

Analysis of Causes for Single Motorcycle Accidents in Hilly and Mountainous Areas Using Motorcycle Driving Simulator

Yuta Katayama･Taisei Kitagawa･Yusuke Numao･Hiroshi Kuniyuki (Suwa University of Science)

In this study, an evaluation course was set up using a motorcycle driving simulator, assuming an S-shaped curve on a hilly and mountainous road, and a comparison of driving maneuvers between a model rider and a novice rider was conducted. As a result, novice riders are more likely to deviate from the lane than model riders due to inadequate motorcycle leaning operation, and it was indicated that this difference in driving ability is one of the factors contributing to accidents.