Vehicle Behavior Analysis for Boarding Point Safety and Traffic Flow
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Solution Overview
Problem
Existing systems fail to determine safe boarding and alighting places for vehicles that ensure user safety and minimize traffic disruption, particularly in environments with unpredictable vehicle behaviors such as sudden acceleration, braking, and direction changes.
Innovation Solution
An information processing device and method that analyzes vehicle behavior data to identify safe boarding and alighting locations by avoiding areas with high risk of user safety hazards and traffic congestion, using a server to dispatch mobile signs to guide users to these locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If boarding and alighting places are determined without analyzing vehicle behavior data, then the system is simpler and faster to operate, but user safety cannot be ensured and traffic disruption increases
Solution Approach 1:
The system performs preliminary analysis of vehicle behavior data (acceleration, braking, direction changes) before determining boarding and alighting places. This advance preparation creates a safety database that guides future location decisions, ensuring user safety without requiring complex real-time calculations during operation.
Solution Approach 2:
The system introduces mobile signs as intermediary devices that communicate safe boarding and alighting locations to users. These signs act as mediators between the complex safety analysis system and the end users, simplifying the user interface while maintaining high safety standards through data-driven location selection.
2Reliability
If safe boarding and alighting places are determined through comprehensive vehicle behavior analysis, then user safety is improved, but traffic disruption may increase due to route optimization requirements
Solution Approach 1:
The system applies different analysis depths to different locations based on their safety characteristics. High-risk areas undergo comprehensive vehicle behavior analysis, while low-risk areas use simplified criteria. This localized approach ensures user safety at critical locations without unnecessarily optimizing routes through already-safe areas, minimizing overall traffic time loss.
3Productivity
If mobile signs are deployed to guide users to safe stops, then user safety and traffic flow are improved, but device complexity and deployment cost increase
Solution Approach 1:
The mobile signs operate autonomously using pre-analyzed safety data to determine their placement locations. They self-configure based on vehicle behavior patterns without requiring manual intervention for each deployment decision, reducing operational complexity while maintaining high traffic flow efficiency through optimized routing.
Data Source
AI summary
The present information processing device includes a processor configured to determine, based on information indicating vehicle behavior about a plurality of vehicles, a boarding and alighting place of a transport vehicle that transports a user among places satisfying a predetermined condition concerning behavior of the plurality of vehicles.