Pedestrian Crossing Area Identification Using Terminal Location Data
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Solution Overview
Problem
Existing technologies struggle to provide effective traffic assistance for vulnerable pedestrians, particularly in identifying and managing crossing areas where pedestrians are likely to intersect with roads, leading to potential safety hazards.
Innovation Solution
An assistance control apparatus and method that utilizes a user terminal and in-vehicle processing apparatus to identify crossing areas based on a pedestrian's predicted destination and walking path, transmitting assistance information to alert vehicles of approaching pedestrians.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traffic assistance systems provide alerts for all detected pedestrians, then pedestrian safety is improved, but unnecessary alerts increase causing driver distraction and reduced system reliability
Solution Approach 1:
The system segments the detection area into multiple crossing areas based on historical crossing data, and only provides assistance alerts when pedestrians are detected within these specific crossing areas. This segmentation approach filters out unnecessary alerts from non-crossing regions while maintaining safety coverage for actual crossing zones.
Solution Approach 2:
The system performs preliminary action by pre-defining crossing areas based on historical pedestrian crossing data before actual pedestrian detection occurs. This allows the system to anticipate where crossings are likely to happen and prepare assistance protocols in advance, reducing reaction time and improving alert accuracy.
2Reliability
If the system monitors all road areas for pedestrian detection, then comprehensive safety coverage is achieved, but system complexity and computational load increase
Solution Approach 1:
The monitoring system is divided into multiple crossing area zones based on historical data, with each zone having its own detection parameters. This segmentation reduces the overall computational complexity by limiting active monitoring to specific high-probability crossing regions rather than the entire road area.
Solution Approach 2:
Different detection sensitivities and parameters are applied to different crossing areas based on their specific characteristics and historical crossing frequencies. High-frequency crossing areas receive more intensive monitoring while low-frequency areas use reduced monitoring, optimizing the balance between safety coverage and system complexity.
3Measurement precision
If the system uses detailed historical data analysis to identify crossing areas, then detection precision is improved, but data processing time and computational resources increase
Solution Approach 1:
The system performs preliminary data analysis during off-peak periods to build historical crossing patterns and pre-identify crossing areas. This preliminary action stores processed crossing area information that can be quickly referenced during real-time operation, reducing the computational burden and processing time during critical detection phases.
Solution Approach 2:
The system creates simplified representations (copies) of historical crossing patterns and stores them as pre-processed data structures. These copies enable rapid comparison with current sensor data without requiring re-analysis of the full historical dataset, maintaining high detection precision while minimizing real-time processing time.
Data Source
AI summary
An assistance control apparatus comprises an acquisition unit which acquires location information of a user terminal, a crossing area identification unit which identifies, based on current location information of the user terminal, a destination of a user associated with the user terminal, a predicted crossing area, and an assistance control unit which performs control related to assistance for a traffic participant when the user terminal is located within a predetermined range including the crossing area. An assistance control method comprises acquiring location information of a user terminal, identifying, based on current location information of the user terminal and a destination of a user associated with the user terminal, a predicted crossing area, and performing control related to assistance for a traffic participant, when the user terminal is located within a predetermined range including the crossing area.