Vehicle-Based Traffic Estimation Using Wireless Positioning Broadcasts
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Solution Overview
Problem
Existing traffic monitoring systems rely on expensive and inflexible infrastructure, which cannot quickly or accurately respond to sudden traffic conditions, and require complex algorithms and high volumes of information exchange.
Innovation Solution
A method and system for estimating traffic conditions using wireless communication between vehicles, where each vehicle broadcasts its position and identity, calculates speed and direction, and estimates traffic conditions without the need for dedicated infrastructure, using a 'Traffic Manager' device that transmits and receives positioning information to provide real-time traffic updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If dedicated infrastructure means (speed sensors, video surveillance equipment) are deployed to detect traffic conditions, then traffic monitoring capability is improved, but system cost and complexity increase significantly
Solution Approach 1:
Vehicles themselves serve as the monitoring infrastructure by broadcasting their own positioning information. Each vehicle acts as both a service recipient and a service provider, eliminating the need for dedicated monitoring infrastructure. The system uses the vehicles' inherent GPS and communication capabilities to perform traffic condition detection.
Solution Approach 2:
Instead of using physical sensors and surveillance equipment, the system creates a virtual copy of the traffic monitoring function through software-based processing of broadcast positioning data. The traffic condition information is derived computationally from vehicle position data rather than direct physical measurement.
2Area of stationary object
If infrastructure-based systems are used to monitor traffic, then coverage area is improved, but response speed to sudden traffic conditions deteriorates
Solution Approach 1:
The system transitions from static infrastructure-based monitoring to dynamic vehicle-based monitoring. Vehicles continuously move through the coverage area, providing real-time updates as they encounter traffic conditions. This dynamic approach enables faster response to sudden changes because the monitoring points (vehicles) are actively moving through the traffic flow rather than waiting for conditions to reach fixed sensors.
Solution Approach 2:
Vehicles broadcast their positioning information continuously before actual traffic conditions develop. This preliminary data collection allows the system to detect emerging traffic patterns and potential congestion before they fully manifest, enabling earlier warning to drivers.
3Reliability
If fixed infrastructure systems are deployed, then system reliability is improved, but adaptability to different road conditions and locations deteriorates
Solution Approach 1:
The system uses universal vehicles that already exist in the traffic flow, making the monitoring solution applicable to any road condition or location without requiring specialized infrastructure deployment. The same vehicle-based broadcasting mechanism works on highways, urban streets, and rural roads, providing universal coverage across diverse environments.
Solution Approach 2:
Instead of having infrastructure adapt to different locations, the system inverts the approach by having mobile vehicles adapt to any location they encounter. The vehicles naturally adjust their broadcasting and data collection based on their current position and surrounding traffic conditions, providing automatic adaptation to any road environment.
4Measurement precision
If complex algorithms and high volume information exchange are used in traffic monitoring, then measurement precision is improved, but device complexity and processing requirements increase
Solution Approach 1:
The system uses partial information (only positioning data) rather than complete information (all vehicle parameters, sensor data, etc.). By focusing on the essential positioning information broadcast by vehicles, the system achieves sufficient traffic condition estimation accuracy without requiring complex algorithms to process excessive data volumes.
Solution Approach 2:
The system extracts only the necessary positioning information from vehicle broadcasts and discards unnecessary data. This extraction approach simplifies processing by focusing on key parameters (position, speed, direction) needed for traffic condition estimation while ignoring other vehicle data that would increase computational complexity.
Data Source
AI summary
The present invention discloses a method, system and computer program embarked in a vehicle, for estimating traffic conditions based on positioning information exchanged with other vehicles using wireless communication. A method in accordance with an embodiment of the invention includes: receiving positioning information repeatedly broadcast by at least one vehicle, the positioning information for each vehicle including: information related to a current location of the vehicle; and information identifying the vehicle; calculating based on at least two successive locations of a same identified vehicle, a current speed and a current direction for the vehicle; and estimating current traffic conditions based on current location, speed and direction of identified vehicles.