Node-Centric Navigation Optimization for Real-Time Traffic
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current navigation systems face challenges in providing real-time, detailed traffic congestion monitoring and optimization, especially at individual intersections, due to slow reporting and generalized congestion determinations, which hinder efficient route optimization for vehicles.
Innovation Solution
A node-centric navigation optimization system that uses a roadway graph to continuously update traffic conditions based on vehicle position data and infrastructure information, allowing for granular quantification of traffic volume and congestion, and optimizing routes at the intersection level by weighting nodes based on vehicle presence and movement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traffic data is aggregated from multiple sources (TMC codes, radio, personal navigation devices), then a high level view of traffic conditions is provided, but the speed of updating congestion information is limited and measurement precision is reduced
Solution Approach 1:
The patent segments the road network into discrete nodes (intersections) and edges (road segments), allowing traffic conditions to be monitored and updated at each individual node rather than aggregating data across large geographic areas. This segmentation enables precise tracking of vehicle queues, wait times, and congestion levels at specific intersections, resolving the contradiction between providing detailed information and maintaining measurement precision.
Solution Approach 2:
The patent replaces traditional mechanical traffic monitoring methods (TMC codes, radio reports, manual navigation device data) with an automated electronic system that receives vehicle position data from GPS devices and automatically updates node weights in a roadway graph database. This substitution eliminates the delays and inaccuracies associated with manual or semi-manual traffic reporting systems.
2Quantity of substance
If GPS location information is used for traffic congestion reporting, then vehicle location data is collected, but errors occur due to multipath problems in urban areas reducing measurement precision
Solution Approach 1:
The patent introduces an intermediary processing layer that receives raw GPS location data and uses it to determine which roadway nodes are affected by vehicles. Instead of directly using potentially inaccurate GPS coordinates for traffic reporting, the system maps vehicle positions to the nearest roadway nodes and edges in the graph database, filtering out GPS errors caused by multipath effects in urban environments.
Solution Approach 2:
The patent creates a virtual copy of the physical road network as a roadway graph database, where nodes and edges represent intersections and road segments. This digital model allows the system to track vehicle positions and traffic conditions in the virtual representation rather than relying directly on imperfect GPS measurements in the physical world.
3Productivity
If routing algorithms use generalized traffic congestion information from traffic broadcasts, then route optimization is provided, but information from individual drivers and centralized traffic maps cannot be integrated reducing adaptability
Solution Approach 1:
The patent implements a feedback mechanism where vehicle position data continuously updates the roadway graph database, which in turn provides real-time node weight information to routing algorithms. This closed-loop system allows routing decisions to be based on current traffic conditions observed from individual drivers, creating an adaptive system that responds to changing traffic patterns rather than relying on static or generalized broadcast information.
Solution Approach 2:
The roadway graph database serves multiple functions: it stores the physical road network topology, tracks real-time vehicle positions, calculates node weights based on traffic conditions, and provides routing information to navigation systems. This multi-functional database integrates various data sources (GPS positions, traffic conditions, route information) into a single universal system.
4Ease of operation
If traffic monitoring relies on ranges and averages of passing vehicles, then a generalized traffic condition is reported, but the number and wait times of vehicles at specific stop lights are not captured reducing measurement precision
Solution Approach 1:
The patent divides the road network into discrete nodes representing individual intersections, allowing traffic monitoring to focus on specific stop lights and intersections rather than reporting generalized conditions across large road segments. Each node can independently track vehicle queues, wait times, and congestion levels, providing precise intersection-level data while maintaining operational simplicity through automated node weight calculations.
Data Source
Figure 1
Figure 2
Figure 3A
AI summary
Vehicle position data from vehicles on a roadway are received. Affected nodes of the roadway are identified based on the vehicle position data. The roadway graph, representative of the roadway, is updated based on the affected nodes of the roadway. Routes of each vehicle are optimized based on updates to the roadway graph. An indication of change in the route of each vehicle may be provided for display.