Vehicle Risk-Area Detection With Predictive Warning Updates
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Solution Overview
Problem
Existing systems struggle to effectively manage and communicate risk areas that are outside the visual range of vehicles, leading to potential safety hazards due to occlusions from objects like other vehicles, buildings, or roadside trees.
Innovation Solution
An information processing apparatus in vehicles identifies risk areas outside the visual range using sensors and communicates with a mobile edge computing server to gather and share coordinate information, enabling warnings to be issued to both vehicles and occupants when terminals or people are present in these areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the vehicle frequently requests risk area information from the server, then the accuracy and timeliness of risk area information is improved, but the server load increases and communication efficiency deteriorates
Solution Approach 1:
The server performs preliminary actions by proactively pushing risk area information to vehicles before vehicles need to request it. The server identifies risk areas in advance and pushes this information to relevant vehicles, eliminating the need for frequent vehicle-initiated requests while ensuring vehicles receive timely risk area updates.
Solution Approach 2:
The system implements feedback mechanisms where vehicles report their location and sensor data to the server, and the server responds by pushing relevant risk area information. This closed-loop feedback system ensures vehicles receive accurate risk area information only when necessary, based on their current state and environment, reducing unnecessary communication while maintaining information accuracy.
2Stability of the object's composition
If the vehicle requests risk area information at fixed time intervals, then the information update regularity is improved, but the timeliness of risk area information deteriorates when travel conditions change
Solution Approach 1:
The system transitions from static fixed-interval requests to dynamic adaptive request timing. Vehicles adjust their information request timing based on changing travel conditions such as speed, location, and detected risk factors. When conditions indicate potential risk or significant changes in environment, vehicles request updated risk area information immediately rather than waiting for the next scheduled interval.
Solution Approach 2:
The server provides feedback to vehicles about their current risk level and information freshness. Based on this feedback, vehicles dynamically adjust their request behavior - requesting information more frequently when risk is high or conditions are changing rapidly, and less frequently when conditions are stable, thus maintaining both regularity and timeliness adaptively.
3Reliability
If the server processes risk area information for all vehicles, then the comprehensive coverage of risk warnings is improved, but the communication load and system complexity increases
Solution Approach 1:
The server implements local quality by providing differentiated risk area information to different vehicles based on their specific characteristics, locations, and needs. Instead of broadcasting the same information to all vehicles, the server tailors risk area information to each vehicle's context - pushing information only to vehicles that are currently affected by or approaching specific risk areas, thus maintaining comprehensive coverage while reducing unnecessary communication.
Solution Approach 2:
The system segments the vehicle fleet into different groups based on location, risk exposure, and information needs. The server processes and pushes risk area information selectively to different segments rather than treating all vehicles uniformly. This segmentation reduces overall communication load while ensuring each segment receives appropriate risk warnings.
Data Source
AI summary
There is provided an information processing apparatus including: a receiving control unit configured to perform a control to receive information indicating a risk area ahead in a movement direction of a moving object, from a server configured to retain information relating to a risk area; a prediction unit configured to predict a change in the movement direction of the moving object; and a determination unit configured to determine whether the movement direction of the moving object has been changed to the direction predicted by the prediction unit, in which the receiving control unit is configured to perform a control to receive the information indicating the risk area, when the determination unit determines that the movement direction of the moving object has been changed to the direction predicted by the prediction unit.