Traffic Analysis System Using Long-Range Wireless Sensors
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Solution Overview
Problem
Conventional traffic monitoring systems using Bluetooth technology have limitations due to their short communication range and sporadic nature, resulting in incomplete and unreliable traffic information.
Innovation Solution
Implementing a system with geographically distributed sensors that utilize long-range wireless signals, such as those in the 2.4 GHz, 5.8 GHz, and 5.9 GHz spectrum, to detect and analyze wireless communications from vehicles, enabling more accurate and comprehensive traffic information collection by filtering and processing data packets from multiple sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If Bluetooth technology is used for traffic monitoring, then the system is easy to implement with distributed sensors, but the communication range is short and data availability is limited
Solution Approach 1:
The patent combines multiple wireless communication technologies (Bluetooth, Wi-Fi, cellular) into a unified traffic monitoring system. Sensors can detect and process signals from multiple sources simultaneously, merging the advantages of each technology to achieve both ease of implementation and extended communication range.
Solution Approach 2:
The monitoring system is designed to be multi-functional by supporting multiple wireless communication protocols. The sensors can universally detect various types of wireless signals from different devices (vehicles, pedestrians, public transportation), making the system adaptable to diverse monitoring needs while maintaining ease of deployment.
2Ease of manufacture
If Bluetooth technology is used for traffic monitoring, then the system is easy to implement, but the communications are sporadic and data quality is limited
Solution Approach 1:
The system incorporates feedback mechanisms where sensors continuously monitor wireless signals and adjust their detection parameters based on signal quality and availability. The processing system receives feedback from multiple sensors and adjusts data collection strategies to maintain reliable traffic information despite the sporadic nature of individual Bluetooth communications.
Solution Approach 2:
The system performs preliminary processing and filtering of wireless signals at the sensor level before transmission to the central processing system. This preliminary action includes signal validation, noise filtering, and data preprocessing, which improves the reliability of data before it enters the main processing pipeline.
3Area of stationary object
If long-range wireless signals are used for traffic monitoring, then communication range and data availability are improved, but the system complexity increases
Solution Approach 1:
The system divides the complex task of multi-protocol wireless monitoring into separate functional modules. Each sensor unit is responsible for specific detection tasks, and the processing system handles specific data processing functions. This segmentation allows the system to support multiple communication ranges and protocols without becoming unmanageably complex.
Solution Approach 2:
The patent introduces an intermediary processing layer that sits between the diverse wireless signal sources and the final traffic information output. This intermediary layer standardizes different signal formats, filters and validates data from multiple sources, and presents unified traffic information, thereby managing system complexity while supporting extended communication ranges.
4Loss of information
If multiple sensors are deployed to improve data availability, then traffic information completeness is improved, but the difficulty of detecting and measuring increases
Solution Approach 1:
The system uses multiple sensors to create redundant copies of traffic information from different locations and perspectives. Each sensor captures the same traffic events independently, and the processing system correlates these copies to build a complete picture. This copying approach improves information completeness while the automated correlation algorithms manage the complexity of processing multiple data streams.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach provides timely and reliable traffic information, including travel times and intersection delays, by extending communication range and improving data availability, allowing for better traffic management and resource allocation.
Implementation Method 1
sensors that utilize long-range wireless signals, such as those in the 2.4 GHz, 5.8 GHz, and 5.9 GHz spectrum, to detect and analyze wireless communications from vehicles
Data Source
AI summary
A traffic monitoring system (400) includes a network of geographically distributed sensors (401-403). The sensors (401-403) provide raw or preprocessed data to a processing system (405) based on received long range wireless signals (e.g., 2.4 GHz, 5.8 GHz, or 5.9 GHz spectrum). The processing system (405) can then implement any of various algorithms to calculate traffic parameters taking into account the range of communication between the source and the sensor. The inputs to these algorithms include a first contacts, last contacts, maximum range, minimum range, median of contacts, average of contacts, maximum strength, and combinations thereof.