Ijraset Journal For Research in Applied Science and Engineering Technology
Authors: Jyoti Yadav , Namarta Dixit , Divya Mishra , Khushi Sharma , Dr. Umesh Dwivedi
DOI Link: https://doi.org/10.22214/ijraset.2024.62832
Certificate: View Certificate
This research paper describes the development of a website based on remote computing with the aim of improving the connection between driving schools and automobile students. The primary purpose of this web application is to provide administrators, parents, and students with actual vehicle information, including clutch usage, speed, braking patterns, and vehicle location. This is achieved through the integration of remote data processing installed in the vehicle and sending the relevant data to web applications. This article discusses the importance of these systems in improving driver training and safety by allowing participants to remotely monitor vehicle operation, driving behavior and actions. We completed the literature review to examine existing telematics systems and their applications in the automotive industry. The work includes the selection and installation of remote data processing equipment, the development of user- friendly web interfaces using modern programming languages and methods, and scrupulous compliance with technical procedures. The main features of the web application include real-time data tracking, GPS tracking, important event alerts and notifications, and reporting and analysis capability. The implementation process is quite detailed, including hardware integration, front-end and back-end development, data storage and security measures.
I. INTRODUCTION
In recent years, there has been a shift in the integration of remote information systems in the automotive industry. Remote data processing is a combination of communications and information technology that facilitates the transmission of data over long distances, thus allowing monitoring and analysis of the vehicle's time. This technology has great potential to improve driver training by providing stakeholders with valuable information regarding driving, driving and safety measures.
This research paper focuses on the development of a Java EE based web application for class drivers. The main purpose of the application is to bridge the gap between driving schools and car students and facilitate communication and information exchange. Leveraging the power of Java EE technologies such as Java Server Faces (JSF), Enterprise JavaBeans (EJB) and Java Persistence API (JPA), the web application aims to provide a comprehensive platform to manage and review traffic information in real-time.
The motivation behind this research stems from the growing need for new solutions in driver training and safety. Routine methods for monitoring student progress and motor performance often lack accuracy, timeliness, and effectiveness. Java EE-based web applications aim to address these limitations by providing timely and effective traffic information to stakeholders, including administrators, parents, and students.
The importance of this research lies in its potential to change driver education outcomes and promote safer driving. Web applications help inform decisions and interventions by providing stakeholders with information such as clutch usage, speed changes, brake patterns and vehicle location.
Additionally, the use of Java EE technology plays an important role in creating effective web applications in education by providing high performance, interoperability and security.
In the next article we will cover detailed data analysis, research methods, system architecture, basic features of the web part, implementation, implementation process, results and discussion and conclusion. With this research effort, we aim to contribute to the advancement of distance knowledge-focused learning solutions by highlighting the role of Java EE as a powerful foundation for creating new and effective web applications.
II. METHODOLOGY
Method and analysis which is performed in your research work should be written in this section. A simple strategy to follow is to use keywords from your title in first few sentences.
A. Research Design:
B. Data Collection:
C. Data Analysis:
D. Web Application Development:
III. LITERATURE SURVEY
This research paper investigates the integration of telematics into driver training, focusing on the development of Java EE-based web applications for driving schools. Current research shows the benefits of telematics in improving driving education, such as improving student performance by monitoring real-time data on clutch use, speed changes, and braking patterns. Researchers have explored methods of integrating telematics equipment into vehicles, solving problems with data transmission, synchronization and accuracy. In addition, the researchers addressed design considerations of Web-based remote data processing applications in terms of user-friendly interfaces, scalability, and use of Java EE technologies such as Java Server Faces (JSF), and Enterprise JavaBeans (EJB). Java Persistence. API (JPA). Ethical issues regarding data security, privacy, and legal compliance are currently being investigated, emphasizing the importance of building trust and transparency in educational support. Overall, the literature review provides insight into the potential of telematics-focused solutions to improve driver training and safety.
IV. PROPOSED WORK
The proposed project involves the development of a Java EE-based telematics web application designed specifically for driving schools. The app is designed to seamlessly connect driving schools with car learners and provide real car information to managers, parents and students. Highlights of suggested activities include:
A. Telematics Device Integration:
B. Web Application Development:
C. Data Collection and Analysis:
D. System Architecture:
V. PROBLEM STATEMENT
The process of finding a suitable driving school, instructor, and schedule is often cumbersome and inefficient when done manually. To address these challenges, our goal is to develop a comprehensive online portal that simplifies this process for aspiring drivers. This portal will maintain an extensive database of licensed driving schools and certified instructors across various locations, allowing users to easily find options that meet their preferences and are conveniently located.
Each instructor will have a detailed profile that includes their qualifications, experience, and teaching style, providing prospective learners with the information they need to make informed choices. Users who have completed their training will be able to leave reviews and ratings, offering valuable insights for future students.
The portal will also include a cost-comparison tool to help users evaluate the fees of different driving schools and instructors, ensuring transparency and aiding budget-conscious decisions. Integrated scheduling features will allow users to input their preferred time slots and view available instructors, streamlining the process and eliminating the need for time-consuming manual inquiries. By simplifying the search, comparison, and booking processes, this portal aims to make learning to drive more accessible, efficient, and user-friendly.
In addition to comprehensive profiles, our portal will feature a sophisticated cost-comparison tool. This tool empowers users to evaluate the fees of different driving schools and instructors, ensuring transparency and enabling budget-conscious decision-making. Furthermore, integrated scheduling capabilities will address the common challenge of finding suitable lesson times. Users can input their preferred time slots, and the portal will present available instructors, eliminating the need for manual inquiries and simplifying the booking process. By streamlining the search, comparison, and enrollment processes, our driving school portal aims to make learning to drive more accessible, efficient, and user-friendly. Our ultimate goal is to empower aspiring drivers to embark on their journey with confidence, knowing that they have access to reliable and reputable driving education resources tailored to their needs.
In essence, our driving school portal aims to transform the daunting task of finding a driving school into a seamless and user-friendly experience. By offering transparency, convenience, and tailored options, we seek to empower aspiring drivers to embark on their journey with confidence and ease, knowing they have access to reliable and reputable driving education resources.
In conclusion, creating a Java EE-based telematics web application for a driving school is an important step in improving driving education and safety measures. By integrating remote data and using Java EE technology, the web application helps monitor vehicle information including clutch usage, speed, brake mode and GPS tracking, providing valuable information for administrators, parents and students. A comprehensive literature review illustrates the evolution of telematics in driving education, demonstrating its potential to improve student performance, improve performance indicators, and provide safe and effective intervention. The work plan developed on this basis by resolving important issues such as integration of knowledge, activation of large capacity and ethical issues. The methodology used in this study includes mixed methods combining qualitative and quantitative data collection, analysis and validation methods. Web applications are designed in accordance with the process, software development life cycle and ethical standards. Through a rigorous and practical testing process, the effectiveness of the web application in providing accurate and timely traffic information to stakeholders has been proven. The system architecture enables seamless integration of remote data management, network access and data storage while maintaining high security against sensitive data and user privacy. In summary, the work plans contribute to solutions that contribute to the advancement of telematicsfocused driver training, promote safer driving and enable better understanding of stakeholders. Future improvements may focus on expanding the app\'s functionality and improving user experience, including machine learning algorithms for predictive analytics. Overall, Java EE-based telematics web applications have great potential to revolutionize the driver training environment and improve safety outcomes.
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Copyright © 2024 Jyoti Yadav , Namarta Dixit , Divya Mishra , Khushi Sharma , Dr. Umesh Dwivedi . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Paper Id : IJRASET62832
Publish Date : 2024-05-27
ISSN : 2321-9653
Publisher Name : IJRASET
DOI Link : Click Here