Road Network Analysis System Using Probe Traffic Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing road network analysis systems fail to promptly detect significant changes that affect users, such as the opening or closure of roads, due to their reliance on time-consuming field surveys and inability to assess user impacts effectively.
Innovation Solution
A road network analysis system that utilizes probe information to calculate traffic volumes before and after a specified reference time, identifying change-related roads based on traffic volume discrepancies, and performs field surveys to reflect these changes in map data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If field surveys are conducted to detect road network changes, then detection accuracy is improved, but time consumption and labor costs increase
Solution Approach 1:
The system performs preliminary analysis by calculating traffic volumes for each road segment using probe information before conducting field surveys. This preliminary filtering identifies only those roads with significant traffic volume changes, allowing field surveys to be focused exclusively on these candidate roads rather than conducting exhaustive surveys of all roads in the map database.
Solution Approach 2:
The system uses existing probe information from vehicles equipped with GPS receivers to automatically calculate traffic volumes and identify candidate roads with network changes. This self-service approach eliminates the need for manual traffic counting or comprehensive field surveys, as the system generates its own detection candidates using readily available probe data.
2Reliability
If comprehensive field surveys are conducted to detect all road network changes, then detection completeness is improved, but productivity decreases
Solution Approach 1:
The system applies partial action by conducting field surveys only on a subset of roads that are identified as candidates through traffic volume analysis. Instead of surveying all roads in the map database, the system performs surveys only on roads where probe information indicates significant traffic volume changes, thereby maintaining detection completeness for important changes while improving overall productivity.
Solution Approach 2:
The system segments the road network into multiple road segments and analyzes traffic volumes for each segment independently using probe information. This segmentation allows the system to identify specific candidate roads with network changes and focus field survey resources on those segments, rather than treating the entire road network as a single survey unit.
3Measurement precision
If probe information from multiple vehicles is analyzed to calculate traffic volumes, then measurement reliability is improved, but data processing complexity increases
Solution Approach 1:
The system uses probe information from multiple vehicles as copies of traffic flow data to infer overall traffic volumes on each road segment. By aggregating and analyzing these individual vehicle trajectory copies, the system achieves reliable traffic volume measurements without requiring direct observation of all vehicles, thereby improving measurement reliability while keeping processing manageable.
Data Source
AI summary
A road network analysis system detects major changes in a road network based on probe information from a plurality of vehicles. The probe information is tabulated and the change in the amount of traffic is calculated for each road with a predetermined time interval. If a remarkable change in the amount of traffic is detected for a road before and after a specific baseline day, it is determined that a major change in the road network affecting the traffic has occurred in the vicinity of the road, and the road is specified as a change-related road. A path search may be performed between the endpoints of a plurality of change-related roads, and the searched paths that have the most overlap with the searched paths are selected so as to identify the change-related roads which are commonly affected by the same cause and the endpoints thereof.