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AUTONOMOUS SPEED CONTROL SYSTEM FOR ELECTRIC VEHICLES
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Abstract
Information
Inventors
Applicants
Specification
Documents
ORDINARY APPLICATION
Published
Filed on 26 November 2024
Abstract
The present invention provides an autonomous speed control system for electric vehicles (EVs) designed to monitor and adjust vehicle speed in restricted zones based on real-time traffic conditions. A central microcontroller [102] with a camera captures images of traffic intensity near restricted zones, using machine learning to determine the optimal speed limit. The determined speed data is then transmitted via RF to the EV’s onboard microcontroller [102], which automatically adjusts the vehicle’s speed by modulating acceleration. The system enables seamless speed reduction upon entering restricted zones and restores normal speed once the zone is exited. In emergencies, the system allows for speed override while notifying a police control unit for legal compliance. The integration of machine learning, RF communication, and automated speed adjustment enhances road safety, promotes compliance, and supports efficient traffic management for EVs.
Patent Information
Application ID | 202441092005 |
Invention Field | ELECTRONICS |
Date of Application | 26/11/2024 |
Publication Number | 48/2024 |
Inventors
Name | Address | Country | Nationality |
---|---|---|---|
Dr. M. SABARIMUTHU | Assistant Professor, Department of Electrical and Electronics Engineering, Kongu Engineering College, Perundurai 638060 | India | India |
C. ABIMANYU | Department of Electrical and Electronics Engineering, Kongu Engineering College, Perundurai 638060 | India | India |
K. T. CHARAN | Department of Electrical and Electronics Engineering, Kongu Engineering College, Perundurai 638060 | India | India |
R. KARTHI | Department of Electrical and Electronics Engineering, Kongu Engineering College, Perundurai 638060 | India | India |
M. MANIKANDAN | Department of Electrical and Electronics Engineering, Kongu Engineering College, Perundurai 638060 | India | India |
Applicants
Name | Address | Country | Nationality |
---|---|---|---|
KONGU ENGINEERING COLLEGE | PERUNDURAI RAILWAY STATION ROAD, THOPPUPALAYAM, PERUNDURAI, ERODE - 638 052 | India | India |
Specification
Description:FIELD OF THE INVENTION:
The present invention relates to an autonomous electric vehicle (EV) speed control system, particularly for automatically monitoring and regulating vehicle speed in restricted zones based on real-time traffic conditions, more particularly for adjusting speed using wireless communication to enhance road safety and traffic management.
BACKGROUND OF THE INVENTION:
Existing solutions for managing vehicle speed and enhancing road safety include traditional methods like speed bumps and road signs, which rely on driver compliance but can be ineffective and cause discomfort, as well as speed limiters that set a constant maximum speed without adjusting dynamically to different environments. Some existing systems use RF transmitters and receivers in specific zones to control speed; however, they automatically limit the vehicle's speed whenever it crosses the zone, even if there are no other vehicles present, which can lead to unnecessary slowdowns.
OBJECTS OF THE INVENTION
One or more of the problems of the conventional prior art may be overcome by various embodiments of the system and methods of the present invention.
The principal object of the present invention is to provide an autonomous speed control system for electric vehicles (EVs) that automatically monitors and adjusts vehicle speed in restricted zones based on real-time traffic conditions.
Another object of the invention is to utilize a central microcontroller with a camera to capture and analyze traffic intensity near restricted zones, determining the appropriate speed limit.
A further object of the invention is to transmit traffic-derived speed limit data from a central microcontroller to an EV's onboard microcontroller via RF wireless communication for real-time speed adjustments.
Yet another object is to enable the EV to autonomously reduce speed upon entering restricted zones and restore normal speed upon exiting these zones.
An additional object of the invention is to allow for speed limit overrides in emergencies, with automatic notification to a police control unit to ensure legal compliance.
Another object is to promote road safety and efficient traffic management by ensuring driver compliance with speed regulations through a compact, hands-free solution.
Other objects and advantages of the present disclosure will be more apparent from the following description, which is not intended to limit the scope of the present disclosure.
SUMMARY OF THE INVENTION
Thus, according to the basic aspect of the present invention, there is provided an advanced, autonomous speed control system specifically designed for electric vehicles (EVs) to improve road safety and compliance with traffic regulations in restricted zones. By leveraging real-time data processing, wireless communication, and intelligent speed adjustment, the system ensures that EVs adapt to traffic conditions dynamically. Each claim describes a component or functionality essential to the system's operation.
Another aspect of the present invention, wherein the central monitoring and processing unit, which comprises a central microcontroller equipped with a camera mounted on traffic poles in restricted zones. The camera captures real-time images of the surrounding traffic conditions, which the microcontroller then processes to determine the appropriate speed limit based on traffic intensity. By analyzing traffic flow, the system ensures that speed adjustments are relevant to current conditions, enhancing the safety and efficiency of vehicle operation in these zones.
Another aspect of the present invention, wherein the central microcontroller is connected to an RF transmitter that wirelessly transmits the determined speed limit data to the EV. The RF transmitter plays a critical role in ensuring that the speed limit data reaches the EV's onboard system reliably and in real-time. This wireless transmission minimizes latency and allows for quick adjustments, making it possible for the vehicle to adapt to changes in traffic conditions as it enters or exits restricted areas.
Another aspect of the present invention, wherein the secondary microcontroller onboard the EV is equipped with an RF receiver that receives and decodes the speed limit data transmitted by the central microcontroller. Based on this data, the secondary microcontroller adjusts the EV's speed by modulating the acceleration path through a relay circuit. This autonomous adjustment mechanism allows the EV to reduce speed precisely and efficiently, ensuring compliance with traffic regulations while requiring minimal driver input.
Another aspect of the present invention, wherein the onboard microcontroller is programmed to recognize the boundaries of restricted zones. Upon receiving speed limit data indicating entry into a restricted area, the system reduces the EV's speed to the specified limit. Once the vehicle exits the restricted zone, the system automatically restores the vehicle's speed to normal levels. The seamless transition between restricted and unrestricted zones ensures smooth, safe driving and compliance with varying speed regulations.
Another aspect of the present invention, wherein the system detects an emergency, it allows the vehicle to exceed the designated speed limit if necessary. Simultaneously, the GSM module sends an alert to a police control unit, notifying authorities of the override. This feature ensures legal compliance and provides a documented record of speed limit exceptions during emergencies, thereby balancing flexibility with regulatory accountability.
Another aspect of the present invention, wherein the machine learning model integrated into the central microcontroller, which processes real-time traffic images to determine traffic intensity and establish the appropriate speed limits accurately. This model learns and adapts based on patterns in traffic behavior, enhancing the system's ability to interpret complex traffic conditions accurately. By leveraging machine learning, the system refines its analysis over time, minimizing errors in speed determination and reducing unnecessary speed adjustments, contributing to a smoother driving experience and optimized traffic management.
BRIEF DESCRIPTION OF THE DRAWINGS
Figure 1 is a functional flow of operations involved in the autonomous speed control system specifically designed for electric vehicles, according to the present invention.
DETAILED DESCRIPTION OF THE INVENTION WITH REFERENCE TO THE ACCOMPANYING FIGURES
Referring to Figure 1, in an aspect, the functional flow of processes involved in the autonomous speed control system specifically designed for electric vehicles is illustrated. The present invention provides a sophisticated, autonomous speed control system designed for electric vehicles (EVs), which dynamically monitors and adjusts vehicle speed in restricted zones to enhance road safety, ensure regulatory compliance, and promote efficient traffic management. This system leverages real-time data processing, machine learning, and wireless communication to provide seamless and context-sensitive speed regulation for EVs in areas with variable speed limits. It achieves this through a combination of a central monitoring unit, onboard vehicle systems, and automated communication between the two.
The system begins with a central microcontroller [102], equipped with a camera mounted on traffic poles in or near restricted zones. This camera captures real-time images of the surrounding traffic conditions, allowing the central microcontroller to continuously monitor traffic intensity. Using advanced image processing and a machine learning model, the microcontroller analyzes the captured images to determine an optimal speed limit based on the traffic density and movement within the restricted area. The machine learning model enables the system to adapt to varying traffic scenarios, refining its analysis over time and improving the accuracy of speed limit determination. The adaptability minimizes the likelihood of incorrect speed adjustments, ensuring that the EV operates safely and efficiently in compliance with current traffic regulations.
Once the appropriate speed limit is identified, the central microcontroller [102] uses an RF transmitter to wirelessly transmit the speed limit data to the EV's onboard systems. The RF transmission allows for low-latency communication, providing the EV with real-time information on the required speed for safe navigation within the restricted zone. This wireless transmission is critical in ensuring that the system can adapt instantly to changes in traffic conditions, maintaining smooth operation even as the EV transitions in and out of restricted zones.
Inside the EV, a secondary microcontroller [104], equipped with an RF receiver, receives the transmitted speed limit data from the central microcontroller. This secondary microcontroller is responsible for decoding the data and autonomously adjusting the vehicle's speed in response. To achieve this, the microcontroller modulates the acceleration path by controlling a relay circuit that directly influences the EV's speed. This hands-free adjustment mechanism reduces the need for driver intervention, allowing the EV to automatically reduce or restore its speed as it enters or exits restricted zones. This automation not only increases driver convenience but also reduces the risk of human error, further contributing to road safety.
In addition to normal speed adjustments, the system includes an emergency override function to accommodate urgent situations. In the event of an emergency, the system allows the EV to temporarily exceed the designated speed limit if necessary. Simultaneously, a GSM module connected to the secondary microcontroller sends a notification to a police control unit, alerting them of the speed override. This dual-action emergency response ensures that the EV can navigate critical situations swiftly while maintaining legal compliance and accountability. By notifying authorities, the system establishes a record of the speed exception, providing a clear explanation of the override in case of inquiries or legal considerations.
The machine learning model integrated into the central microcontroller plays a key role in improving the system's performance over time. By analyzing and learning from traffic patterns, the model enhances the accuracy of traffic intensity assessments and speed limit determinations. This adaptive capability allows the system to recognize complex traffic conditions, such as congestion or unexpected slowdowns, which may require different speed limits. By continuously refining its speed limit calculations based on observed patterns, the model ensures that the EV's speed adjustments are always contextually relevant, enhancing both safety and traffic flow.
The autonomous EV speed control system provides a comprehensive solution for maintaining safe and efficient vehicle operation in restricted zones. By combining real-time monitoring, RF-based wireless communication, intelligent speed modulation, and a responsive emergency override mechanism, the invention ensures that EVs remain compliant with traffic regulations while supporting an adaptable, data-driven approach to road safety. This system's hands-free design allows it to function independently of driver input, making it highly effective for promoting compliance in urban settings and restricted zones. Through its innovative use of machine learning and automated communication, this invention addresses the complex requirements of modern traffic management and offers a robust, legally compliant solution for improving road safety in high-risk areas.
The embodiments herein and the various features and advantageous details thereof are explained with reference to the non-limiting embodiments in the following description. Descriptions of well-known components and processing techniques are omitted to not unnecessarily obscure the embodiments herein. The examples used herein are intended merely to facilitate an understanding of ways in which the embodiments herein may be practiced and to further enable those of skill in the art to practice the embodiments herein. Accordingly, the examples should not be construed as limiting the scope of the embodiments herein.
While considerable emphasis has been placed herein on the components and component parts of the preferred embodiments, it will be appreciated that many embodiments can be made and that many changes can be made in the preferred embodiments without departing from the principles of the disclosure. These and other changes in the preferred embodiment as well as other embodiments of the disclosure will be apparent to those skilled in the art from the disclosure herein, whereby it is to be distinctly understood that the foregoing descriptive matter is to be interpreted merely as illustrative of the disclosure and not as a limitation.
, Claims:1. An autonomous speed control system for electric vehicles (EVs), comprising:
a central microcontroller [102] equipped with a camera, mounted on traffic poles near restricted zones, configured to capture and analyze images of real-time traffic conditions to determine the appropriate speed limit based on traffic intensity.
2. The system as claimed in Claim 1, wherein the central microcontroller [102] is connected to an RF transmitter that wirelessly transmits the determined speed limit data to an RF receiver on the EV.
3. The system as claimed in Claim 1, further comprising a secondary microcontroller [104] onboard the EV, configured to receive and decode the speed limit data transmitted via RF and adjust the vehicle's speed accordingly by modulating the acceleration path through a relay circuit.
4. The system as claimed in Claim 1, wherein the onboard microcontroller [102] is configured to automatically reduce the vehicle's speed upon entering a restricted zone and restore it to normal upon exiting the restricted zone based on received speed limit data.
5. The system as claimed in Claim 1, further comprising an emergency override function that allows the vehicle to exceed the designated speed limit during emergencies while simultaneously notifying a police control unit through a GSM module to ensure legal compliance.
6. The system as claimed in Claim 1, wherein a machine learning model processes the real-time traffic images on the central microcontroller [102] to enhance accuracy in determining traffic intensity and appropriate speed limits based on various traffic conditions.
Documents
Name | Date |
---|---|
202441092005-COMPLETE SPECIFICATION [26-11-2024(online)].pdf | 26/11/2024 |
202441092005-DECLARATION OF INVENTORSHIP (FORM 5) [26-11-2024(online)].pdf | 26/11/2024 |
202441092005-DRAWINGS [26-11-2024(online)].pdf | 26/11/2024 |
202441092005-EDUCATIONAL INSTITUTION(S) [26-11-2024(online)].pdf | 26/11/2024 |
202441092005-EVIDENCE FOR REGISTRATION UNDER SSI [26-11-2024(online)].pdf | 26/11/2024 |
202441092005-EVIDENCE FOR REGISTRATION UNDER SSI(FORM-28) [26-11-2024(online)].pdf | 26/11/2024 |
202441092005-FORM 1 [26-11-2024(online)].pdf | 26/11/2024 |
202441092005-FORM FOR SMALL ENTITY(FORM-28) [26-11-2024(online)].pdf | 26/11/2024 |
202441092005-FORM-9 [26-11-2024(online)].pdf | 26/11/2024 |
202441092005-POWER OF AUTHORITY [26-11-2024(online)].pdf | 26/11/2024 |
202441092005-REQUEST FOR EARLY PUBLICATION(FORM-9) [26-11-2024(online)].pdf | 26/11/2024 |
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