Traffic Visualization Platform for Real-Time Sensor Data Fusion
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Solution Overview
Problem
Current traffic management systems lack the ability to provide real-time, detailed visualization of traffic information across multiple intersections, failing to effectively monitor and manage traffic flows due to limitations in processing and presenting data from various sensors.
Innovation Solution
A traffic visualization platform that processes sensor data to identify and classify objects, curate data for missing and erroneous information, and translate it into real-time geospatial coordinates, generating dynamic animations for display on a map to enhance traffic management and operational efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If sensor data is processed to provide detailed real-time visualization of traffic information across multiple intersections, then information completeness and visualization quality improve, but system complexity and data processing requirements increase
Solution Approach 1:
The system segments traffic information processing by creating separate functional modules: sensor data acquisition module, data processing module, coordinate transformation module, and visualization module. Each module handles specific aspects of traffic data, allowing complex information to be processed through specialized components rather than a monolithic system, thus reducing overall system complexity while maintaining information completeness.
Solution Approach 2:
The patent introduces an intermediary coordinate transformation layer that converts sensor data from local coordinate systems to a unified geospatial reference frame. This intermediary processing step enables seamless integration of data from multiple intersections without requiring direct complex interactions between all sensor systems, thereby managing information completeness while controlling system complexity.
2Measurement precision
If real-time geospatial coordinate transformation and dynamic animation generation are implemented, then traffic flow monitoring capability improves, but processing time and computational load increase
Solution Approach 1:
The system performs preliminary coordinate transformation by establishing predetermined geospatial reference frames and transformation matrices for each intersection before real-time monitoring begins. This pre-computation of coordinate systems allows rapid real-time conversion of sensor data without requiring complex calculations during active traffic monitoring, thus maintaining location precision while reducing processing time.
3Measurement precision
If multiple sensor types are integrated to classify and identify different vehicle types and road users, then detection accuracy improves, but device complexity and data fusion requirements increase
Solution Approach 1:
The patent merges data from multiple sensor types (video cameras, radar, infrared sensors) into a unified object classification system. By combining the strengths of different sensor modalities within an integrated processing framework, the system achieves high vehicle classification accuracy while managing complexity through unified data structures and classification algorithms that handle multi-sensor inputs systematically.
Data Source
AI summary
A platform for visualization of traffic information at an observed roadway or traffic intersection converts data collected from sensors for rendering as dynamic animations on a virtual map of the observed roadway or traffic intersection. The platform parses and curates incoming sensor data from either a single or multiple sensors representing one or more objects at the observed roadway or traffic intersection, and translates at least location data of each object for correlation of the object's movement relative to the observed roadway or traffic intersection. The platform then generates dynamic animations of the movement of each object and displays the animations as an overlay on the virtual map.