Bluetooth Traffic Node for Accurate Travel Time
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Solution Overview
Problem
Current traffic data collection methods are expensive and inefficient, leading to errors in travel time inference and congestion management, as they rely on closed-circuit video cameras, observers, and axle counters, which are costly to maintain and operate, and often result in new congestion on alternate routes when many users divert from congested roads.
Innovation Solution
A traffic data collection node system that uses a computing module, energy storage, and antennas to detect Bluetooth MAC addresses and collect data on vehicle movement, transmitting this information via cellular or mesh networks to a central processing center, allowing for anonymous and accurate tracking of vehicle flow and travel times without the need for expensive infrastructure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If closed-circuit video cameras, observers, or axle counters are used to collect traffic data, then traffic information can be obtained, but the cost of maintenance and operation becomes expensive
Solution Approach 1:
The patent replaces mechanical traffic data collection systems (video cameras, axle counters) with a wireless communication-based system using Bluetooth transceivers and cellular networks to detect and track vehicles, thereby eliminating the need for expensive physical infrastructure while maintaining measurement accuracy
Solution Approach 2:
The patent introduces Bluetooth transceivers as intermediary devices that enable indirect vehicle detection through wireless communication signals, allowing traffic data collection without direct physical contact or expensive camera systems
2Duration of action of stationary object
If axle counters are deployed for long periods, then continuous traffic data can be collected, but the counters must be collected for processing which increases operational complexity
Solution Approach 1:
The patent enables vehicles to self-report their presence and location through Bluetooth transceivers that automatically transmit identification signals, eliminating the need for manual counter collection and processing while allowing continuous long-term data collection
3Loss of information
If current detection methods are used to infer travel times from speed detections, then travel time information can be obtained, but errors of up to 35-40% occur
Solution Approach 1:
The patent records the exact time when a vehicle passes each detector point using Bluetooth signal detection, storing these timestamp data points in advance to directly calculate travel time without needing to infer from speed measurements, thereby eliminating the 35-40% error associated with speed-based inference
Data Source
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AI summary
A system for collecting traffic data includes at least one first node, at least one second node, and a central processing station. The first node includes a cellular communications module and a first networking communications module connected to a first processor. The second node includes a second networking communications module and a device detection module connected to a second processor. The at least one first node and the at least one second node form a network. The device detection module detects devices associated with traffic. The central processing station can be linked to the at least one first node via the cellular communications module. The at least one second node communicates information associated with the devices associated with traffic to the at least one first node. The at least one first node communicates the information associated with the devices associated with traffic to the cellular communications module.