Server Risk Assessment for Personal Mobility Collision Avoidance
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Solution Overview
Problem
The increasing use of personal mobility vehicles on roads poses a risk of collision due to their small size, which may not be identified by vehicle drivers, leading to potential accidents.
Innovation Solution
A server system that determines a risk level for personal mobility vehicles based on received information from the vehicles and user terminals, and transmits notification information to vehicles or user terminals to alert them of potential collisions, using a communicator to assess user, vehicle, and congestion data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If personal mobility vehicles are used on roads, then mobility and accessibility are improved, but collision risk with vehicles increases due to small size and poor visibility
Solution Approach 1:
A server acts as an intermediary between personal mobility vehicles and regular vehicles. The server receives information from both parties, determines collision risk levels, and transmits notifications to vehicles. This intermediary system enables communication and risk assessment without requiring direct modification of the personal mobility vehicles themselves, thus maintaining their simplicity while adding safety functionality.
Solution Approach 2:
The system performs preliminary risk assessment before collisions occur. The server determines risk levels based on received information about personal mobility vehicles and regular vehicles, and transmits notifications in advance to alert drivers. This preliminary action allows drivers to take preventive measures before entering hazardous zones, rather than reacting after a collision risk materializes.
2Reliability
If notification systems are implemented for personal mobility vehicles, then collision prevention is improved, but system complexity increases
Solution Approach 1:
The server serves as a centralized intermediary that handles the complexity of risk assessment and notification distribution. Instead of embedding complex safety systems in each personal mobility vehicle, the computational burden and system complexity are concentrated in the server, which processes information from multiple sources and generates appropriate notifications for distribution to vehicles.
Solution Approach 2:
The system utilizes existing infrastructure and communication capabilities of personal mobility vehicles and regular vehicles. Rather than requiring entirely new hardware or systems, the solution leverages available sensors, communication modules, and processing capabilities that vehicles and mobility devices already possess, reducing the need for additional complex components.
Data Source
AI summary
A server and a controlling method of the same provides notification information about risk level by determining risk level for personal mobility based on information received from personal mobility and vehicle. The vehicle includes a communicator and a controller that determines risk level for personal mobility based on personal mobility information received from the personal mobility, vehicle information received from vehicle located within a preset radius from the personal mobility, and congestion level of driving road of the personal mobility. The controller operates the communicator to transmit notification information corresponding to the risk level to the vehicle.