Pedestrian Collision Warning System Using Movement Means
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Solution Overview
Problem
Existing systems for determining the likelihood of collision between pedestrians and vehicles at crossings do not account for the movement means of the pedestrian, such as walking or riding a bicycle, which affects arrival time at the crossing.
Innovation Solution
An information processing device that acquires position information of a mobile terminal, a vehicle, and the movement means of the pedestrian, and determines the likelihood of collision based on this information, providing a warning accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the system uses generic position information without considering movement means, then the system complexity is reduced, but the warning timing accuracy deteriorates
Solution Approach 1:
The system performs preliminary identification of the pedestrian's movement means (walking, running, cycling, etc.) before calculating collision likelihood. This preliminary action enables the system to select appropriate warning timing thresholds in advance, improving warning accuracy without adding complex real-time calculation mechanisms during critical moments
Solution Approach 2:
The system changes the warning timing parameter based on the identified movement means. Different movement types (walking vs. cycling vs. running) have different speed characteristics, so the system adjusts the warning threshold timing parameter dynamically to match the pedestrian's actual movement speed, achieving accurate timing without requiring a completely new system for each movement type
2Measurement precision
If the system acquires and processes movement means information, then the collision likelihood determination accuracy is improved, but the information processing complexity increases
Solution Approach 1:
The determination unit is segmented into multiple specialized sub-units: a movement means identification unit that specifically identifies how the pedestrian is moving, and a collision likelihood determination unit that uses this information to calculate collision probability. This segmentation allows each unit to focus on a specific task, improving overall accuracy while keeping individual unit complexities manageable
Solution Approach 2:
The movement means information acts as an intermediary parameter between the raw position data and the final collision likelihood determination. Instead of directly calculating collision likelihood from position data alone, the system uses movement means information as an intermediate step to bridge the gap, enabling more accurate determination without requiring direct complex interactions between all system components
3Reliability
If the system provides generic warnings without considering movement means, then the notification simplicity is maintained, but the safety effectiveness deteriorates
Solution Approach 1:
The notification system dynamically adjusts warning timing and methods based on the pedestrian's movement means. For example, cyclists who move faster receive earlier warnings compared to pedestrians walking at normal speed. This dynamic adaptation improves safety effectiveness by matching warning timing to actual movement characteristics without requiring completely separate notification systems for each movement type
Data Source
AI summary
An information processing device includes: a first acquisition unit configured to acquire position information of a mobile terminal; a second acquisition unit configured to acquire position information of a vehicle; a third acquisition unit configured to acquire movement means information of a holder of the mobile terminal; a determination unit configured to determine a likelihood of collision between the holder of the mobile terminal and the vehicle at a crossing based on a position of at least one crossing included in road information stored in a storage unit; and a notification unit configured to give a warning to at least one of the mobile terminal and a person in the vehicle based on a result of determination from the determination unit.