In 2019, a child died by a school zone traffic accident in Asan, Chungcheongnam-do, the Republic of Korea. Just after the accident, under the name of the "Minsik Law", the Road Traffic Act and the Specific Crime Aggravated Punishment Act were partially revised and went into effect in Korea on March 25, 2020. The new Korean law providing for harsh penalties is designed to reduce automobile accidents in school zones. However, the penalties under the new law seems to be unconstitutionally and unduly harsh. Under the new law, a negligent driver who kills a child at a school zone could be sentenced to indefinite imprisonment, or imprisonment for 3 years or more. The criminal responsibility of a negligent driver at a school zone is the same as serious intentional felonies such as rape, robbery, abandonment resulting in death. Also, even in the case of a school zone accident, if an accident driver complies with the speed limit and other traffic laws and it is impossible to avoid the accident, the driver should not be punished. So, in order to meet the principle of proportionality, the new Korean law should be revised again. In order to find out the appropriate level and punishment method for drivers who cause accidents in school zones, this thesis will compare and analyze the laws of Korea with those of the United States, Germany, and Japan. This paper also reviews the decision of the Constitutional Court of the Republic of Korea in February 2023 that the "Minsik Law" was constitutional. Based on these analyses, this thesis seeks the direction and amendments to properly revise Korean law. In addition, this thesis is intended to present exemplary measures to improve the school zone safety.

This paper presents extended state feedback control based on impulse response for lane change of autonomous driving vehicle. The triple characteristic root of path tracking system and longitudinal velocity determine feedback gains. We suggest a resemblance of impulse response curve of the system and lane change trajectory of the vehicle. The root affects the duration of lane change and lateral acceleration. The effect of limited lateral acceleration and saturation of steering angle will be analyzed and discussed. Finally, simulation results will show the trajectory of lane change based on impulse response under limitation of lateral acceleration.

Electric vehicles are widely produced from many car manufacturers around the world instead of internal combustion engine vehicle in order to respond a variety of environmental regulations. Also, they are applying for modular design method to develop plenty of the vehicles. And, both of these two issues will be an important trend to lead the future global automobile industries for a long time. In this paper, new brake architecture concept is proposed in order to respond to such a situation. First, physical interfaces between brake system like caliper, disc and other counter-parts are established for modular assembly. Second, we analyze effective factors of brake system for electric vehicles which need to reflect vehicle specifications such as total vehicle weight. Here, we consider ideal brake force by critical deceleration. Third, we simulate accumulated regenerative brake energy for two main driving modes to confirm to effectiveness for a variety of Electric Vehicle. Finally, we hope that it contributes to implement brake architecture for the development of Electric Vehicle platform through such a study.

Simulation-based virtual testing is known to be a major requirement for verifying the safety of autonomous driving functions. However, in the simulation environment, there is a difficulty in that all driving environments related to the autonomous driving system must be realistically modeled. In particular, C-ITS (Cooperative-Intelligent Transport Systems) is essential for urban autonomous driving of Lv.4, but the approach to modeling for C-ITS service in the MILS (Model in the Loop Simulation) environment is not yet clear. Therefore, this paper aims to deal with V2X (Vehicle to Everything) modeling methods to effectively apply C-ITS-based autonomous cooperative driving services in the MILS environment. First, major C-ITS services and use cases for autonomous cooperative driving are analyzed, and a modeling method of V2X signals for C-ITS service simulation is proposed. Based on the modeled V2X messages, the validity of the proposed approach is reviewed through simulations on the C-ITS service use case.

When a children's school bus stops on the road, the operator enables an amber flashing light (indicating stopping or slowing) or a red flashing light (indicating that children are getting on and off). Drivers of vehicles passing by the stopped school bus, as well as vehicles in adjacent lanes to the school bus must stop temporarily. However, many drivers are not aware of the laws and do not comply with them, so children are exposed to an increased risk of being hit, especially at night as the color recognition of the vehicle is significantly lower than during the day. In our experiments, messages and shapes using light were projected to the front and rear of a parked school bus, in addition to its red lights flashing.

Defects in the vehicle itself were considered the biggest risk factor for traffic accidents as the electrical and electronic components of vehicles, which were not there before, increase. Therefore, the vehicles have been developed based on ISO 26262 (an international functional safety standard) which is focusing on functional defect safety evaluation of electrical and electronic component systems. However, in the future, as autonomous driving technology is applied, even vehicles without functional defects must be prepared for the dangerous traffic situation that may arise from exceptional or external factors. SOTIF (Safety Of The Intended Functionality) is a concept to prevent exceptional or external factors. The main objective of SOTIF is to decrease Unknown & Unsafe factors as much as possible by finding Known factors and Unsafe factors. In this study, Prescan provided SIEMENS, one of the autonomous driving simulators, is used to make scenarios of IGLAD traffic accident cases. From the simulation results, Unsafe & Safe cases were classified and analyzed to derive unsafe factors.

As advanced driving assistance system (ADAS) and autonomous driving performance continue to improve, existing crash accidents and crash types are changing. Accordingly, the collision angle and the seating posture of the occupant are changed. It is necessary to study how the occupant injury mechanism changes according to these different crash types. In this regard, a representative crash test mode was derived when the automatic emergency braking system (AEB), one of the autonomous driving performance, was applied to the representative car-to-car crash scenario in Korea. The derived crash test mode was used to analyse the mechanisms of collision injuries according to both impact angle and the occupant seating posture (reclined seat-back angle). The results obtained through this study can be utilized as reference data for the development of new crash evaluation methods and improvements in crash restraint systems for enhancing crash safety.