In Japan, the key pieces of legislations governing road safety, namely the Road Transport Vehicle Act and the Road Traffic Act, have been revised to tackle drunk driving and, recently, to allow the development of self-driving cars. Traffic safety on public roads depends on a holistic system of vehicle control and a graduated response to traffic violation. If small violations are dealt with via a simplified system of fines, drunk driving and other form of dangerous driving need a stronger response that also includes criminal incrimination. The other major evolution in traffic-safety law is the gradual introduction of legislation allowing self-driving cars. After reducing the obstacles to the operation of automated vehicles with technology comparable to SAE level 3 on public roads, legislation has recently introduced a system comprising three entities for SAE level 4 cars in order to safely transition to driverless traffic operation. However, the key concepts and definitions—even for terms as simple as the “driver” —still need to be reviewed and improved to better fit this futuristic mode of driving.
As urban landscapes rapidly integrate e-scooters into their transportation ecosystems, understanding pedestrian-e-scooter interactions becomes paramount for safety and planning. This study investigates pedestrian discomfort levels and avoidance strategies when encountering an e-scooter approaching from the front.
25 participants were exposed to e-scooters approaching at three different speeds and lateral distances. Avoidance paths were plotted, and subjective discomfort levels were recorded and analysed.
Our findings underscored two key behaviours: 1) As the speed of the e-scooter increased, participants initiated avoidance manoeuvres from a further distance ahead, suggesting a heightened perception of risk. 2) Regardless of the e-scooter's speed, the lateral distance maintained during passing remained fairly constant. However, when the e-scooter's initial lateral position was closer to participants, both the initiation distance for avoidance and the reported discomfort level increased noticeably.
The findings underscore the critical influence of lateral distance and e-scooter speed on pedestrian comfort and avoidance behaviour. These insights can guide urban planners and policymakers in designing safer and more efficient shared spaces.
Despite the recent decline in child deaths caused by road traffic crashes in high income countries, low- and middle-income countries (LMIC) have yet to experience a similar trend. Children are among the most vulnerable of road users accounting for 30–40 % of all road traffic deaths in LMICs, 50 % of which are vehicle occupants. Previous research suggests that children ages 0–9 are the second most vulnerable age group in Ghana with 54 % of the children being fatally injured in injury-related crashes. However, little has been done to identify the associated factors influencing injury severity outcomes for child passengers in Ghana. This study investigates the factors that are associated with the various injury severity outcomes for child vehicle occupants less than 9 years old involved in road crashes in Ghana from 2014 to 2020. Results indicate that older child passengers (aged 5–8) were associated with lower injury severities compared to younger passengers. Additionally, crashes in which the driver sustained more severe injuries resulted in a higher likelihood of the child passengers sustaining a fatal injury. Findings from this research emphasize the issue of child passenger safety and support transportation policy and decision making to reduce risks of injury for child passengers.
This study examined the influential roadway and contextual factors affecting drivers' speed selection through a comprehensive investigation employing structural equation modeling. Roadway and contextual variables including road curvature, presence of roundabouts, adverse weather conditions, and access were investigated using infrared speed sensors. The analysis revealed that specific roadway and contextual factors such as field variables, uphill and downhill road inclines, particular road curvature, and rainy weather significantly influence drivers' chosen speeds, while factors such as road access, nighttime conditions, larger road curvature, and signage exhibit a lesser impact. Notably, the study also found a positive correlation between road curvature radius and driver-chosen speed. The study's implications for transportation infrastructure planning and road safety interventions are underscored, with potential applications in road design, signage improvement, and weather-responsive measures to regulate driver speed choices in specific roadway and contextual conditions.
The purpose of this study is to investigate the effect of visual obstruction when a head-up display (HUD) is presented in front of a driver's field of view.
The use of HUDs is expected to increase due to advances in augmented reality (AR) technology. A conventional HUD is displayed at a relatively low position in relation to the driver's viewpoint and has little effect on their front view. However, while an HUD, such as the AR-HUD, is presented in front of the driver's field of vision and helps them in presenting ADAS information, there is a concern that this display may obscure visual objects on the road from the driver's field of vision.
An experiment using a mockup consisting of a HUD and a driver's seat was conducted with 28 participants. A passenger car, motorcycle, and crossing pedestrian were presented as visual objects on a 65-in monitor behind the image of the HUD. Participants were asked questions under different conditions with changes in the HUD luminance and asked to correctly answer questions regarding changes in the inter-vehicle distance and the existence of visual objects on the road. The number of correct answers provided by the participants was recorded.
The experimental results revealed that the HUD had an effect under the twilight condition wherein the background luminance was low. Furthermore, analyzing the number of correct answers for each visual target revealed that the HUD had an effect under conditions wherein the size of the visual object was small.
It was experimentally derived that the luminance ratio Rluminance = 1.1 was the threshold value that affected the recognition of the visual object in the background when the HUD was presented in front of the driver's field of view.
The threshold value of the luminance ratio Rluminance obtained in this study can be considered when deciding how to properly display the HUD in front of the driver's field of view.

