Road Risk Warning System Using Dispensing Vehicle Data
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Solution Overview
Problem
Vehicles face risky and unsafe driving conditions due to debris and particles dispensed by dispensing vehicles, which can cause physical damage and affect road conditions, necessitating a solution to warn drivers of potential hazards.
Innovation Solution
A system that determines risk values for road links based on vehicle features, map data, and environment data, providing navigation instructions with alternative route recommendations or risk warnings when the risk value exceeds a predefined threshold.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If vehicles travel on roads where dispensing vehicles have operated, then transportation efficiency is maintained, but driving safety deteriorates due to debris and particles on the road
Solution Approach 1:
The system performs preliminary risk assessment by analyzing dispensing vehicle trajectory data, debris dispersion patterns, and environmental conditions before vehicles reach affected road sections. This advance warning allows drivers to take preventive actions such as changing routes or adjusting driving behavior before encountering hazardous conditions.
Solution Approach 2:
The navigation system acts as an intermediary between dispensing vehicle operations and following vehicles. It processes information from multiple sources (dispensing vehicle data, environmental sensors, road conditions) and translates this into actionable risk assessments and route recommendations, mediating the information gap between the dispensing vehicle's actions and the safety needs of following vehicles.
2Reliability
If real-time risk assessment is performed for all road links, then driving safety is improved, but system complexity increases
Solution Approach 1:
The system applies risk assessment selectively to specific road links and sections where dispensing vehicles have operated or are likely to operate, rather than uniformly across all roads. Risk values are calculated and updated only for affected areas, allowing the system to maintain high safety monitoring where needed while minimizing computational overhead in low-risk areas.
Solution Approach 2:
The system performs comprehensive risk assessment for identified high-risk road links (excessive action in critical areas) while using simplified models or reduced monitoring for lower-risk sections. This partial application of full assessment capabilities optimizes the balance between safety coverage and system complexity.
Data Source
AI summary
A system, a method, and a computer program product may be provided for risky road condition warning. The system may include a memory configured to store computer executable instructions and a processor configured to execute the computer executable instructions to obtain a set of vehicle features associated with a dispensing vehicle travelling along a link. The processor is configured to determine a set of risk-related features associated with the link based at least on the set of vehicle features. The processor is configured to obtain map data associated with the link. The processor is configured to determine a risk value for the link based on the set of risk-related features and the map data, and update a map database associated with the link based on the risk value.