Probe Vehicle Data Aggregation for Traffic Monitoring
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Solution Overview
Problem
Conventional probe-vehicle systems face scalability issues due to redundant communication from multiple vehicles, leading to increased communication channels and processing capacity needs, as well as privacy concerns from excessive data transmission.
Innovation Solution
A traffic information system that employs a host probe vehicle to aggregate and transmit a single cooperative value for multiple remote target vehicles, reducing communication channels and data processing load, and incorporating a minimum detected vehicle threshold to filter data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple probe vehicles independently communicate with the traffic information center, then real-time traffic data collection is achieved, but communication volume and processing capacity requirements increase exponentially
Solution Approach 1:
Multiple probe vehicles are merged into a single virtual probe vehicle that aggregates traffic data from all participating vehicles. The virtual probe vehicle transmits consolidated traffic condition reports to the traffic information center, eliminating redundant communications while maintaining comprehensive traffic monitoring coverage.
Solution Approach 2:
The virtual probe vehicle serves multiple functions simultaneously: it collects data from multiple physical probe vehicles, processes and aggregates the information, and transmits unified traffic reports. This multi-functional approach replaces multiple independent communication channels with a single universal interface.
2Loss of information
If each probe vehicle independently reports traffic conditions, then individual vehicle data is captured, but redundant data transmission occurs when multiple vehicles report the same traffic jam
Solution Approach 1:
Traffic data from multiple probe vehicles reporting the same traffic condition is merged into a single aggregated report. The virtual probe vehicle consolidates duplicate information about traffic jams, accidents, or other incidents, transmitting only one unified report instead of multiple redundant messages.
Solution Approach 2:
The virtual probe vehicle creates a consolidated copy of traffic conditions that represents the collective data from multiple physical probe vehicles. Instead of transmitting identical copies from each vehicle, a single representative copy is generated and transmitted.
3Object-affected harmful factors
If probe vehicles are spaced far from traffic incidents, then vehicle privacy is maintained, but traffic condition detection accuracy decreases
Solution Approach 1:
Data from multiple probe vehicles at different distances and positions relative to traffic incidents is merged to improve detection accuracy. The virtual probe vehicle aggregates observations from vehicles that may be at varying distances from incidents, compensating for individual vehicles being spaced far from events while maintaining privacy protections.
Data Source
AI summary
A probe-vehicle traffic information system for and method of gathering traffic data utilizing a host probe vehicle having onboard exterior sensors. The host vehicle is configured to detect at least one condition from at least one traveling target vehicle, aggregate and process the condition data, and report only the processed data to a traffic information center, so as to reduce the number of simultaneous communication channels typically required to report condition data from a plurality of probe vehicles.