Road-Segment Low-Bridge Detection With Directional Truck Alerts
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Solution Overview
Problem
Existing bridge collision prevention systems generate excessive false alerts due to reliance on circular geofences, failing to consider vehicle height and directionality, leading to driver alert fatigue and increased risk of ignoring critical warnings.
Innovation Solution
A system that integrates real-time map-matching with vehicle height data and detailed bridge information to generate precise, in-cab alerts for potential low-bridge collisions, using road-aligned geofences and on-vehicle monitoring to minimize false alerts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If circular geofences are used for bridge detection, then coverage area is increased, but false alerts increase significantly
Solution Approach 1:
The patent divides the circular geofence into multiple road-aligned segments that follow the actual road network geometry. Each segment is evaluated independently based on whether the vehicle's path intersects with it, allowing precise detection only along the vehicle's actual route rather than triggering alerts for the entire circular area.
Solution Approach 2:
The patent applies different detection qualities to different spatial locations by aligning geofences with road segments. Detection sensitivity and alert triggering are localized to specific road portions where bridges actually exist, rather than applying uniform detection across the entire geofence area, reducing false alerts in areas where no bridge is present.
2Device complexity
If geofence-based detection is used without vehicle height data, then detection simplicity is maintained, but collision prevention accuracy deteriorates
Solution Approach 1:
The patent merges bridge detection with vehicle height monitoring into a unified system. The monitoring device receives both bridge information (location, height) and vehicle information (current position, height) and integrates them to determine collision risk, rather than treating them as separate functions.
Solution Approach 2:
The patent introduces vehicle height as a critical parameter in the detection algorithm. By comparing bridge clearance height with vehicle height, the system dynamically adjusts detection thresholds and alert timing, enabling precise collision risk assessment while maintaining computational efficiency through standardized parameter comparison.
3Productivity
If alerts are generated without considering vehicle direction, then detection coverage is maximized, but alert relevance deteriorates
Solution Approach 1:
The patent implements asymmetric alert triggering based on vehicle direction relative to bridge approach. Alerts are generated only when the vehicle is traveling toward a bridge (not away from it), and only when the vehicle's path directly intersects the bridge location. This directional filtering eliminates irrelevant alerts while maintaining comprehensive coverage of actual collision risks.
Data Source
AI summary
Solutions are presented for generating alerts when a truck may collide with a bridge. The solution includes a bridge strike avoidance system that offers real-time alerts to drivers about potential low-bridge collisions. By utilizing real-time map data, vehicle height data, and detailed bridge information, bridge strike chances are reduced. The system includes tools for generating alerts by a monitoring device on the vehicle and for configuring bridge and vehicle heights. Fleet administrators can manage and review alerts, while drivers can verify or input vehicle height, including trailers. Administrators can also validate these height parameters. Map and bridge data are uploaded to the vehicle's device, which checks for low bridges within a specified distance during trips. Visual or auditory alerts notify drivers. The server logs low-bridge events, enabling a behavioral monitoring system to generate alerts and reports for fleet managers.