Pedestrian Risk Notification Using Pavement Occupancy Prediction
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Solution Overview
Problem
Existing traffic safety systems struggle to accurately predict and notify drivers and pedestrians of potential contact risks between vehicles and pedestrians, particularly due to insufficient consideration of pedestrian movement patterns and pavement width occupancy, leading to increased safety and convenience challenges.
Innovation Solution
A traffic safety support system that includes a recognizer to identify traffic participants and environments, calculates contact risk values based on pedestrian movements and pavement width occupancy, and provides risk notifications with varying intensities to drivers and pedestrians, using on-board and portable devices to enhance awareness and prevent collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the system uses basic pavement state recognition (width, height, guardrail presence), then the system complexity is low, but the accuracy of predicting pedestrian movement risk is insufficient
Solution Approach 1:
The system performs preliminary prediction of pedestrian movement routes before actual contact risk occurs. The predictor calculates predicted movement routes of multiple pedestrians based on current positions and directions, and determines potential route intersections in advance, enabling proactive risk assessment rather than reactive response
Solution Approach 2:
The system transitions from two-dimensional pavement state recognition to three-dimensional risk assessment by incorporating the vertical dimension of route intersection prediction. It evaluates not only horizontal positions but also predicts future spatial relationships between multiple pedestrians and the vehicle, adding a temporal and spatial dimension to the risk assessment
2Reliability
If the system provides risk notifications for all detected pedestrians, then the safety coverage is maximized, but the notification frequency and false alarms increase
Solution Approach 1:
The system applies different notification strategies to different pedestrians based on their individual risk characteristics. Instead of uniform notification, it calculates separate contact risk values for each pedestrian considering their specific position, movement direction, and predicted route intersection with the vehicle, enabling targeted and accurate notifications
Solution Approach 2:
The system dynamically adjusts the risk assessment parameters by calculating contact risk values that change based on real-time conditions. It modifies the notification decision based on whether predicted pedestrian routes intersect with the vehicle's traveling route, using variable threshold criteria rather than fixed notification rules
3Adaptability or versatility
If the system calculates contact risk based only on single pedestrian positions, then the calculation simplicity is high, but the comprehensiveness of risk assessment is insufficient
Solution Approach 1:
The system segments the risk assessment process into distinct calculation components: individual pedestrian position tracking, separate predicted route calculation for each pedestrian, individual contact risk value computation, and final synthesis of multiple risk factors. This modular segmentation enables comprehensive multi-pedestrian assessment while maintaining manageable calculation complexity through structured decomposition
Data Source
AI summary
A traffic safety support system 1 includes a recognizer configured to recognize traffic participants present near a mobile body 94 that is a support target, a notification device configured to make a risk notification to a driver of the support target, and a risk notification specifier configured to set an operation manner of the risk notification. In a case where the support target is traveling on the road and a first pedestrian 95 is present ahead of the support target, the risk notification specifier calculates a risk value of the first pedestrian 95 and the support target on the road 90 on the basis of the recognition information, and in a case where the risk value exceeds a threshold, sets ON of the risk notification. The risk notification specifier calculates the risk value on the basis of the number of pedestrians present in the vicinity of the first pedestrian 95.