International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Vehicle Management System |
|---|---|
| ABSTRACT | Vehicular Management Systems (VMS) play an important role in today’s transportation and logistics field. They use technology to enable efficient vehicle tracking, monitoring, and management. As urbanization grows, improving fleet management is essential, and traditional manual processes cannot keep up with this demand. This leads to smart, web-based management solutions. This article looks at the planning and implementation of vehicle management forms built with the ReactJS library. It offers insights into system architecture, development methods, and how modern web technologies improve system efficiency. The case study shows how ReactJS supports a component-based structure and a virtual DOM, which helps create scalable, dynamic, and high-performance user interfaces. The paper also covers key topics like real-time data monitoring, state management systems, seamless API connections, and improved user experience. It lists the benefits of ReactJS, such as component reusability, faster rendering, and easier maintenance while noting possible drawbacks like state management problems and reliance on external services. Additionally, the paper discusses current limitations and security concerns, as well as future upgrades like using new technologies such as the Internet of Things (IoT), artificial intelligence (AI), and cloud computing to enhance system capabilities. This study highlights how web-based frontend technologies like ReactJS can greatly boost scalability and performance, which will positively affect user experience in vehicle management applications, making them more efficient and reliable.. |
| AUTHOR | SACHIN YADAV, KUSUMLATA DHIMAN Department of Computer Science and Engineering, Parul Institute of Technology, Parul University, Vadodara, Gujarat, India |
| VOLUME | 183 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1404027 |
| pdf/27_Vehicle Management System.pdf | |
| KEYWORDS | |
| References | [1] T. Anderson, “Web Application Development Using ReactJS,” Journal of Software Engineering, vol. 15, no. 4, pp. 210–218, 2023. [2] R. Das, “Performance Optimization Techniques in React Applications,” International Journal of Computer Applications, vol. 182, no. 30, pp. 1–6, 2023. [3] P. Verma and S. Gupta, “Real-Time Vehicle Tracking System Using GPS and GSM,” IEEE Conference on Smart Systems, pp. 120–125, 2021. [4] K. Singh and A. Yadav, “Scalable Fleet Management Systems Using Cloud Computing,” International Conference on Cloud Computing, pp. 89–95, 2022. [5] N. Patel and R. Mehta, “Smart Vehicle Monitoring Using IoT,” International Journal of Engineering Research, vol. 10, no. 2, pp. 45–52, 2022. [6] D. Lee and H. Kim, “IoT-Based Predictive Maintenance for Vehicles,” IEEE Transactions on Industrial Informatics, vol. 19, no. 1, pp. 300–309, 2023. [7] V. Sharma, “Integration of AI in Transportation Systems,” Springer Journal of Smart Technologies, 2024. [8] S. Roy and P. Nair, “Security Challenges in Web-Based Applications,” IEEE Access, vol. 11, pp. 55678–55690, 2023. [9] A. Brown and J. Wilson, “RESTful API Design for Scalable Web Applications,” IEEE Software, vol. 39, no. 2, pp. 50–57, 2022. [10] L. Zhang, “Database Optimization Techniques for Large-Scale Applications,” Journal of Data Engineering, vol. 18, no. 1, pp. 15–25, 2023. [11] M. Kumar and S. Rathi, “Web-Based Fleet Management System Using Cloud Technology,” International Journal of Advanced Computer Science, vol. 12, no. 3, pp. 78–85, 2022. [12] S. Patel and R. Shah, “Role-Based Access Control in Web Applications,” International Journal of Cyber Security, vol. 9, no. 4, pp. 100–108, 2023. [13] J. Miller, “Real-Time Data Processing in Web Systems,” ACM Computing Surveys, vol. 55, no. 6, pp. 1–20, 2023. [14] H. Gupta and K. Jain, “Middleware and Caching Techniques for Web Performance,” International Journal of Computer Networks, vol. 11, no. 2, pp. 60–70, 2022. [15] R. Taylor, “Scalable Microservices Architecture for Modern Applications,” Springer Journal of Software Systems, 2024. |
