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Open Access
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Vijay Diwan, Vikas Sangappa Birajdar, Bholanath Mahadeorao Bahur, N.V. Kale
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- Student, Student, Student, Professor Department of Electronics & Telecommunication, Sinhgad College of Engineering, Savitribai Phule University, Department of Electronics & Telecommunication, Sinhgad College of Engineering, Savitribai Phule University, Department of Electronics & Telecommunication, Sinhgad College of Engineering, Savitribai Phule University, Department of Electronics & Telecommunication, Sinhgad College of Engineering, Savitribai Phule University Maharashtra, Maharashtra, Maharashtra, Maharashtra India, India, India, India
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Abstract
nThis paper introduces a comprehensive Smart Vehicle Tracking System equipped with advanced functionalities such as live vehicle tracking, real-time fuel monitoring, anti-theft measures, and accident detection systems. Transportation systems have been completely transformed by the incorporation of cutting-edge technologies into automobiles, which have increased efficiency, safety, and security. Due to their ability to reduce the risks associated with auto theft and accidents, smart vehicle tracking systems with anti-theft and accident detection features have attracted a lot of attention among these technologies. The anti-theft and accident detection features of smart car tracking systems are the main topics of this research paper’s thorough analysis of the body of knowledge and cutting-edge technologies. The study looks at the fundamental ideas, essential elements, and working mechanisms of these kinds of systems, as well as the advantages and disadvantages of them. In addition, it addresses current developments, new trends, and potential paths in this area with the goal of providing understanding for scholars, professionals, and decision-makers who are engaged in automotive security and safety. The primary goal of this system is to enhance the security and safety of vehicles while providing owners with valuable insights into their vehicle’s status.
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Keywords: ESP 32 microcontroller, Ultrasonic sensor, Neo-6M GPS module, MPU 6050 gyroscope and accelerometer sensor, Relay, motor, Power supply.
n[if 424 equals=”Regular Issue”][This article belongs to Journal of Automobile Engineering and Applications(joaea)]
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nn[if 992 equals=”Open Access”] Full Text PDF Download[/if 992] n[if 992 not_equal=”Open Access”]
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References
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- Liu, Y., Li, X., Zhao, Y., & Han, Z. (2023). An Improved Vehicle Accident Detection Algorithm Based on Deep Learning and Vehicle Communication Technology. IEEE Access, 11, 39048–39058.
- Sharma, A., & Saini, R. K. (2022). Intelligent Accident Detection and Tracking System Using IoT. In 2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence) (pp. 367–371). IEEE.
- Rathi, N., Kala, V. R., & Dubey, R. (2022). A Review on Advanced Vehicle Accident Detection System Using IoT. In 2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS) (pp. 47–52). IEEE.
- Zhu, Y., Yang, H., Li, C., & Chen, Y. (2023). Intelligent Vehicle Accident Detection and Tracking System Based on Big Data Analytics. In 2023 9th International Conference on Big Data Analytics (ICBDA) (pp. 359–363). IEEE.
- Sharma, S., & Gupta, P. (2023). Smart Vehicle Tracking and Accident Detection System using Internet of Things. In 2023 3rd International Conference on Computing Methodologies and Communication (ICCMC) (pp. 504–509). IEEE.
- Tiwari, A., & Mishra, A. (2022). Enhanced Vehicle Accident Detection System using Deep Learning and IoT. In 2022 International Conference on Inventive Computation Technologies (ICICT) (pp. 1–6). IEEE.
- Patel, S. A., Patel, S. P., Adhyaru, Y. B. K., Maheshwari, S., Kumar, P., & Soni, M. (2022). Developing smart devices with automated Machine learning Approach: A review. Materials Today: Proceedings, 51, 826–
- Kumar, K. S. R., Solanke, R. R., Laxmaiah, G., Alam, M. T., & Taluja, R. (2023, April). Iot and data mining techniques to detect and regulating of solar power system. In 2023 International Conference on Inventive Computation Technologies (ICICT) (pp. 1382–1385). IEEE.
- De Carvalho, V. D. H., & Costa, A. P. C. S. (2023). Exploring Text Mining and Analytics for Applications in Public Security: An in-depth dive into a systematic literature review. Anal, 1, 5–55.
- Collier, B. (2023). Considerations for Selecting and Implementing Cloud Security Solutions Using Cloud Access Security Brokers (Doctoral dissertation, Marymount University).
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Journal of Automobile Engineering and Applications
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| Volume | 11 | |
| [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] | 01 | |
| Received | April 25, 2024 | |
| Accepted | May 3, 2024 | |
| Published | May 24, 2024 |
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