Traffic Flow Migration Analysis via Road Network Trajectory Mapping
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Solution Overview
Problem
Current traffic flow migration analysis technologies can only analyze the situation at a macro level, resulting in low utilization rates and accuracy issues due to reliance on positioning point data, which are prone to errors and abnormal communication.
Innovation Solution
The method involves obtaining and analyzing road network driving trajectories to determine both region-level and road-level traffic flow migration data, refining the data analysis dimension and improving accuracy by mapping vehicle trajectories to the road network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If positioning point data is used for traffic flow migration analysis, then the analysis can be performed, but the accuracy is reduced due to positioning errors and abnormal communication
Solution Approach 1:
The patent introduces road network data as an intermediary layer between positioning points and traffic flow analysis. By mapping positioning points to road network links and using spatial positional relationships with region boundaries, the system mediates the inaccurate positioning data through multiple layers of geometric relationships to produce more reliable traffic flow migration data.
2Productivity
If only macro-level region analysis is performed, then the analysis complexity is reduced, but the utilization rate of the analysis results is low
Solution Approach 1:
The patent segments the traffic flow migration analysis into two distinct levels: region-level (macro) analysis and road-level (micro) analysis. By dividing the analysis dimensions and providing different granularities of data, the system enables both high-level planning and detailed route optimization, significantly increasing the utilization rate of analysis results for different application scenarios.
3Ease of manufacture
If positioning point data is used directly for analysis, then the data processing is simple, but the results suffer from positioning errors and abnormal communication issues
Solution Approach 1:
The patent introduces road network data as an intermediary layer between positioning points and traffic flow analysis. By mapping positioning points to road network links and using spatial positional relationships with region boundaries, the system mediates the inaccurate positioning data through multiple layers of geometric relationships to produce more reliable traffic flow migration data.
Solution Approach 2:
The patent replaces direct reliance on mechanical positioning data with a geometric computation system based on road network topology and spatial relationships. Instead of trusting raw positioning coordinates, the system uses mathematical geometric relationships between road links and region boundaries to determine traffic flow migration, substituting a more reliable computational approach.
Data Source
AI summary
A traffic flow migration situation display method and apparatus, a device and a medium, relating to the field of traffic analysis technologies. The method includes: obtaining a road network driving trajectory of a vehicle, the road network driving trajectory being composed of links in the road network; determining traffic flow migration data of a target region based on a spatial positional relationship between the road network driving trajectory and the target region, the traffic flow migration data including region-level traffic flow migration data and road-level traffic flow migration data, the region-level traffic flow migration data being used for representing a traffic inflow/outflow situation of the target region, and the road-level traffic flow migration data being used for representing a traffic inflow/outflow situation of a boundary link of the target region; and displaying a traffic flow migration situation of the target region based on the traffic flow migration data.