About this Research Topic
According to the World Health Organization, road traffic accidents cause 1.35 million deaths yearly. Currently, there is also a trend of diversification of real traffic accidents, including pedestrian, bicycle, electric two-wheeler and other accidents. At the same time, configurations in the accident environment have become more complex, such as the addition of obstacles that may affect the vision of road users. Although previous research has proposed practical methods, like advanced driver assistance systems (ADAS), there remains a gap in knowledge of the integration of intelligent safety technologies, such as early detection by vehicle sensors, measurements models, and intelligent occupant protection systems.
The aim of this Research Topic is to collect related fields and multidisciplinary research outcomes that tackle these prevention and protection challenges for all road users under an integrated intelligent safety system. More specifically, articles will focus on one of the several stages in the driving process. For perception, typical scenarios have been proposed where vulnerable road users (VRUs) use various avoidance postures, causing different levels of danger. In addition, vehicle sensors with robust algorithms can accurately detect the presence of pedestrians in complex traffic scenarios. For active avoidance, there is a trend in current research to address the limitations in vehicle dynamics response and control precision, e.g., delay time in prediction, decision-making, control and response. However, prediction systems are subject to missed, late or even false alarms. For occupant protection, proactive measures can be effective in preventing injuries, and intelligent occupant protection research which explores the inherent risks and mechanisms in rearward-leaning driving attitudes and high crash intensities are vitally important in order to investigate the balanced occupant restraint system and consider seat sliding energy absorption and occupant posture control.
Submissions related to recent developments and articles which address advanced safety technologies and explore intelligent safety countermeasures for future transportation are encouraged. Topics may include, but are not limited to, the following:
• Accident analysis and scenarios modelling
• Data-driven crash risk prediction and injury risk analysis
• Data-driven crash protection configuration decision modelling
• Perception of hazardous traffic situations
• Prediction of vulnerable road users’ trajectories
• Advanced safety technologies for vulnerable road users’ safety protection
• Active intelligence safety technologies and measures
• Occupant adaptive crash protection
The aim of this Research Topic is to collect related fields and multidisciplinary research outcomes that tackle these prevention and protection challenges for all road users under an integrated intelligent safety system. More specifically, articles will focus on one of the several stages in the driving process. For perception, typical scenarios have been proposed where vulnerable road users (VRUs) use various avoidance postures, causing different levels of danger. In addition, vehicle sensors with robust algorithms can accurately detect the presence of pedestrians in complex traffic scenarios. For active avoidance, there is a trend in current research to address the limitations in vehicle dynamics response and control precision, e.g., delay time in prediction, decision-making, control and response. However, prediction systems are subject to missed, late or even false alarms. For occupant protection, proactive measures can be effective in preventing injuries, and intelligent occupant protection research which explores the inherent risks and mechanisms in rearward-leaning driving attitudes and high crash intensities are vitally important in order to investigate the balanced occupant restraint system and consider seat sliding energy absorption and occupant posture control.
Submissions related to recent developments and articles which address advanced safety technologies and explore intelligent safety countermeasures for future transportation are encouraged. Topics may include, but are not limited to, the following:
• Accident analysis and scenarios modelling
• Data-driven crash risk prediction and injury risk analysis
• Data-driven crash protection configuration decision modelling
• Perception of hazardous traffic situations
• Prediction of vulnerable road users’ trajectories
• Advanced safety technologies for vulnerable road users’ safety protection
• Active intelligence safety technologies and measures
• Occupant adaptive crash protection
Keywords: Hazard perception, Crash risk prediction, Occupant adaptive collision protection, vulnerable road user safety, intelligent safety countermeasures
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
