An RFID-based intelligent vehicle speed controller using active traffic signals

Area of Science:

• Intelligent Transportation Systems (ITS)
• Control Systems Engineering
• Automotive Technology

Background:

• Current vehicle Cruise Control (CC) systems struggle with dynamic speed limit changes on roads.
• Inattentive driving and unexpected road conditions contribute to traffic accidents.
• Intelligent Transportation Systems (ITS) offer potential for enhanced vehicle safety and efficiency.

Purpose of the Study:

• To develop a novel Infrastructure-to-Vehicles (I2V) communication and control system for intelligent speed control.
• To improve vehicle speed adaptation to real-time road circumstances.
• To enhance driver safety and reduce fuel consumption through intelligent speed management.

Main Methods:

• Utilized Radio Frequency Identification (RFID) technology for identifying traffic signals.
• Implemented a high-accuracy vehicle speed measurement using a Hall effect-based sensor.
• Developed a fuzzy logic controller integrating sensor fusion from I2V infrastructure and vehicle sensors.

Main Results:

• Empirically validated the performance of the proposed intelligent speed control system.
• Demonstrated efficient adaptation of vehicle speed to changing road conditions.
• Achieved promising results in enhancing intelligent speed control capabilities.

Conclusions:

• The developed I2V system effectively manages vehicle speed in dynamic environments.
• The integration of RFID and Hall effect sensors with fuzzy logic control offers a robust solution for intelligent speed control.
• This technology has the potential to significantly improve road safety and driving efficiency.