Smart Vehicle Anti Lock Breaking System using Fuzzy Logic AI

Problem Definition

Problem Description: Despite the advancements in automobile safety features, accidents still occur due to the inability of the driver to effectively control the vehicle during emergency braking situations. Traditional ABS systems may not always be able to accurately assess the level of brake force required based on varying road conditions, velocity, and driver inputs. There is a need for a more intelligent and adaptive ABS system that can make real-time decisions to prevent wheel lock-up and maintain tractive contact with the road surface, thereby avoiding accidents caused by skidding. Implementing an Artificial Intelligence based Fuzzified Anti Lock Breaking System (ABS) for smart vehicles can address this issue. By utilizing fuzzy logic to create a system that can analyze input parameters such as brake force, velocity, and road conditions, the ABS can make more accurate and informed decisions on the amount of brake force to apply in different situations.

This would enhance the active safety of automobiles and reduce the risk of accidents caused by wheel lock-up and skidding.

Proposed Work

The proposed work aims to develop an Artificial Intelligence Based Fuzzified Anti Lock Braking System (ABS) for Smart Vehicle. The project will focus on implementing ABS using fuzzy logic, which is essential for improving the active safety of automobiles. ABS is crucial in maintaining tractive contact with the road surface during braking, preventing wheel lock-up and uncontrolled sliding. By integrating fuzzy logic, the system will be able to make decisions on the amount of brake force to apply based on user inputs such as brake force and velocity. The fuzzy logic system will work on a set of rule sets provided by the developer to address various conditions that may arise during braking scenarios.

The project will utilize modules such as Matrix Key-Pad, Introduction of Linq, and Fuzzy Logics, and fall under the categories of M.Tech | PhD Thesis Research Work and MATLAB Based Projects, with subcategories including MATLAB Projects Software and Fuzzy Logics. The implementation of this AI-based ABS system holds great significance in enhancing automotive safety and control.

Application Area for Industry

The project of developing an Artificial Intelligence based Fuzzified Anti Lock Braking System (ABS) for smart vehicles can be immensely beneficial in various industrial sectors, particularly in the automotive industry. This technology can be applied in the manufacturing of cars, trucks, and other vehicles to enhance their active safety features and prevent accidents caused by wheel lock-up and skidding during emergency braking situations. Additionally, this project's proposed solution can be utilized in the transportation industry to improve the safety of commercial vehicles and reduce the risk of accidents on the road. By implementing fuzzy logic to analyze input parameters such as brake force, velocity, and road conditions, the ABS system can make real-time decisions to ensure optimal braking performance and tractive contact with the road surface, ultimately leading to a significant decrease in accidents related to brake failures. Moreover, beyond the automotive and transportation sectors, this AI-based ABS system can also find applications in industries that require vehicles with advanced safety features, such as the logistics and delivery industry.

By integrating fuzzy logic into ABS technology, companies can improve the safety of their fleets and ensure the protection of both their assets and employees. Overall, the implementation of this project's solutions can have far-reaching benefits across various industrial domains by addressing specific challenges faced by industries related to vehicle safety and control, ultimately leading to improved operational efficiency and reduced risks of accidents and liabilities.

Application Area for Academics

The proposed project on developing an Artificial Intelligence Based Fuzzified Anti Lock Braking System (ABS) for Smart Vehicles holds significant relevance for MTech and PhD students looking to undertake innovative research in the field of automotive safety and control. This project can provide an excellent platform for students to explore advanced research methods, simulations, and data analysis techniques for their dissertations, theses, or research papers. By implementing ABS using fuzzy logic, students can study how AI technologies can be utilized to make real-time decisions in emergency braking situations, thereby preventing accidents caused by wheel lock-up and skidding. The project's application in the research domain of Optimization & Soft Computing Techniques, specifically focusing on MATLAB Based Projects and Fuzzy Logics, makes it ideal for students specializing in these areas. MTech students and PhD scholars can utilize the code and literature of this project to enhance their understanding of AI-based ABS systems and apply this knowledge to further their research in automotive safety and control.

The future scope of this project includes exploring additional AI techniques and integrating more sensors for improved decision-making in different road conditions, thereby paving the way for more advanced research in the field of intelligent automotive safety systems.

Keywords

Artificial Intelligence, Anti Lock Braking System, ABS, Fuzzy Logic, Smart Vehicle, Active Safety, Automobiles, Brake Force, Road Conditions, Wheel Lock-up, Skidding, Intelligent ABS System, Real-time Decisions, Tractive Contact, Brake Control, Emergency Braking, Automotive Safety, Driver Assistance, MATLAB Projects, Software Development, M.Tech Thesis, PhD Thesis Research, AI Based ABS System, Intelligent Decision Making, Fuzzy Logics, Vehicle Control, Road Safety, Smart Technology, Vehicle Dynamics, Accident Prevention