Passive RFID Roadway Tags for Vehicle Positioning
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Solution Overview
Problem
Current intelligent transportation systems face challenges in accurately determining vehicle positions on roadways with high precision and affordability, as existing solutions like GPS have limitations in accuracy and cost, and conventional systems fail to account for the full extent of a vehicle's road space, leading to potential collisions.
Innovation Solution
The use of passive electronic RFID tags embedded in roadways to provide accurate vehicle positioning and extent information, combined with on-board readers in vehicles and infrastructure units, allowing for communication and data exchange to enhance safety and traffic management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If GPS is used for vehicle positioning, then positioning coverage is improved, but positioning accuracy deteriorates
Solution Approach 1:
The system segments the positioning function into two parts: GPS provides broad coverage and approximate location, while roadside sensors provide high-accuracy refinement for vehicles in the sensor detection zone. This segmentation allows the system to leverage the strengths of both approaches without sacrificing coverage or accuracy.
Solution Approach 2:
Roadside sensors act as intermediary devices between GPS and the vehicle positioning system. When a vehicle enters the detection zone of roadside sensors, these sensors serve as a mediator to provide high-accuracy position information, supplementing and refining the GPS data.
2Measurement precision
If roadside vehicle sensors such as radar are used, then positioning accuracy is improved, but system cost and energy consumption worsen
Solution Approach 1:
Roadside sensors serve as intermediary devices that provide high-accuracy positioning only when needed (when vehicles are in detection zones), rather than requiring every vehicle to have expensive sensors. This mediator approach transfers the complexity from individual vehicles to fixed infrastructure.
Solution Approach 2:
The system replaces expensive active sensors on vehicles with passive RFID tags on vehicles and fixed roadside readers. This substitution uses electromagnetic field-based RFID technology instead of mechanical or active radar systems, reducing vehicle cost and complexity while maintaining accuracy through infrastructure-based detection.
3Device complexity
If conventional positioning systems are used, then system simplicity is improved, but ability to determine vehicle extent worsens
Solution Approach 1:
The roadside sensor system performs multiple functions: it determines vehicle position, calculates vehicle extent (length and width), identifies vehicle type, and provides this information to multiple recipients (other vehicles, infrastructure units). This multi-functionality addresses the information loss problem without significantly increasing system complexity.
Solution Approach 2:
The system provides feedback about vehicle extent information to both infrastructure units and other vehicles. This feedback mechanism ensures that complete vehicle information (position plus extent) is communicated back into the system, enabling better spatial awareness and collision avoidance.
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 solution enables precise vehicle positioning and extent measurement, reducing the risk of collisions and fatalities, while being cost-effective and easily deployable, with incremental costs for adding new applications once the infrastructure is in place.
Implementation Method 1
The tags may be similar to the Radio Frequency Identification (RFID) tags being proposed to replace bar code labels on merchandise
Data Source
AI summary
Vehicles driving on a roadway interrogate passive tags in or on lanes of the roadway. Codes in the tags represent locations along the highway and which lane the vehicle is traveling in. Units in the vehicles communicate longitudinal and lane positions derived from the codes among each other or with infrastructure units for purposes such as traffic management, alerts concerning other vehicles, alerts concerning external conditions, or traffic control. The units may also communicate vehicle lengths or other parameters or characteristics. Vehicle units may communicate with sensors and actuators in the vehicles for purposes such as updating the vehicles' positions between adjacent tags. Specific applications for intelligent transportation systems are described.