Vehicle-Mounted Road Condition Detection System
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Solution Overview
Problem
Current systems for reporting and addressing road conditions are inefficient, relying on manual driver reports and prone to inaccuracies, leading to delayed and imprecise identification and repair of hazardous road conditions.
Innovation Solution
A road condition detection system equipped with sensors and onboard computers on vehicles to capture and analyze data on road conditions, transmitting real-time information to users and a central server for further analysis, enabling precise identification and communication of hazards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual driver reports are used to identify road conditions, then the system is simple to implement, but the identification accuracy and response time are poor
Solution Approach 1:
The patent replaces manual mechanical reporting systems with automated sensor-based detection systems. Sensors mounted on vehicles automatically capture road condition data (potholes, debris, weather conditions) and transmit it to a central server, eliminating the need for manual driver reports and significantly improving identification accuracy while maintaining manageable system complexity through standardized sensor integration.
Solution Approach 2:
The detection system performs self-service by automatically capturing, processing, and transmitting road condition data without human intervention. The onboard sensors and processors autonomously identify hazards and generate reports, freeing drivers from manual reporting duties and ensuring consistent, accurate data collection across the entire vehicle fleet.
2Productivity
If manual reporting processes are used, then the system is easy to operate, but the response time and efficiency are slow
Solution Approach 1:
The system implements continuous road condition monitoring through sensors that operate constantly on all vehicles in the fleet. Data is continuously captured, transmitted in real-time to the central server, and processed immediately, eliminating the intermittent and delayed nature of manual reporting. This continuous operation ensures hazards are detected and reported without interruption, significantly improving response efficiency.
Solution Approach 2:
The system establishes a closed-loop feedback mechanism where sensor data flows continuously from vehicles to the central server, which then generates alerts and routes repair tasks to appropriate departments. This automated feedback loop eliminates manual communication chains, reduces information loss, and accelerates the overall response time from hazard detection to repair dispatch.
3Loss of information
If multiple communication handoffs are required in manual reporting, then the system structure is simple, but information accuracy deteriorates
Solution Approach 1:
The patent replaces manual human-to-human communication with automated electronic data transmission. Sensors capture raw road condition data and transmit it directly to the central server via digital communication channels, eliminating multiple human handoffs. This substitution preserves data accuracy by avoiding human interpretation errors while managing complexity through standardized data protocols and automated processing pipelines.
Data Source
AI summary
The present invention is directed to a road condition detection system for identifying and monitoring road conditions, and for communicating information regarding road conditions to various users. The road condition detection system is provided for capturing data indicative of road conditions and analyzing the captured data to locate and identify various road conditions (e.g., road hazards, such as potholes, or weather conditions, such as ice). In various embodiments, the road condition detection system includes a road condition sensor array configured for being attached to a vehicle and for capturing road condition data. The captured data may be transmitted and assessed by a server configured for identifying potential road hazards or other road conditions based on the road condition data captured by the sensor array.