Impact of Connected Vehicle Systems on Road Safety and Heavy Vehicle Fleet Management

  • Authors

    • Aakansha Soy Assistant Professor, Department of CS & IT, Kalinga University, Raipur, India
    • Sutar Manisha Balkrishna Research Scholar, Department of CS & IT, Kalinga University, Raipur, India
    • Manika Gupta Assistant Professor, New Delhi Institute of Management, New Delhi, India
    https://doi.org/10.14419/jpjfms43

    Received date: May 2, 2025

    Accepted date: May 29, 2025

    Published date: July 8, 2025

  • Connected Vehicle Systems (CVS); Road Safety; Fleet Management; Predictive Maintenance; Interoperability
  • Abstract

    Connected Vehicle Systems (CVS) are revolutionizing the transportation industry by integrating advanced digital technologies with ‎vehicular communication to enhance both road safety and fleet management. Such systems facilitate immediate message dissemination from ‎the vehicle to the infrastructure and vice versa and contain vital information on speed, position, and road conditions, respectively. In specific ‎concerns like road safety, CVS assists in minimizing the occurrences of mistakes that lead to accidents they including collision avoidance, ‎driver assistance, and traffic control. CVS also helps in lowering risks and informing early about possible risks; they also help in avoiding ‎traffic jams and making global traffic flow better. Since CVS is used for heavy vehicle fleet management, it provides substantial ‎advantages like real-time monitoring, tracking of the vehicle for predictive maintenance, and monitoring of the behavior of the drivers, which ‎tends to make it efficient, cost-effective, and the right route. More so, these systems assist fleet operators to monitor the status of the ‎vehicles and thus, schedule maintenance continuously and avoid violation of the law. There are still issues that make it a ‎difficult subject, such as the issues revolving around infrastructure costs, data privacy, and Issues of interoperability between different ‎systems, or from region to region. Nevertheless, the experience of CVS indicates that they can be an effective way to increase safety and ‎efficiency on the roads and that the opportunities for further developments are still enormous, even with all the mentioned obstacles‎.

  • References

    1. Lu, S., & Shi, W. (2024). Introduction to Vehicle Computing. In-Vehicle Computing: From Traditional Transportation to Computing on Wheels (pp. 1-24). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-59963-7_1.
    2. Sharma, N., & Rajput, A. (2024). Development of A Genomic-based Predictive Model for Warfarin Dosing. Clinical Journal for Medicine, Health and Pharmacy, 2(2), 11-19.
    3. Prince, N. R. (2024). Logistics Optimization: A Comprehensive Analysis of Pathao Courier's Operational Dynamics, Zone Management Strategies, and Issue Mitigation Approaches. Department of Business and Technology Management (BTM), Islamic University of Technology (IUT), Board Ba-zar, Gazipur-1704, Bangladesh.
    4. Chakma, K. S., & Chowdhury, M. S. U. (2023). CSA Implementation Using Novel Methodology: RTL Development. Journal of VLSI Circuits and Systems, 5(2), 22–28. https://doi.org/10.31838/jvcs/05.02.04.
    5. Chang, C.H., Liu, C.L., Chao, H.L., Huang, K.L., & Lin, Y.B. (2013). A Novel LIPA Scheme for LTE VoIP Services with Home eNBs. Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications, 4(3), 1-22.
    6. Nlenanya, I., Inusah, A., & Hallmark, S. L. (2024). Integration of Connected Vehicle and RWIS Technologies (No. Aurora Project 2022-08). Iowa. Department of Transportation. Aurora Program.
    7. Toha, A., Ahmad, H., & Lee, X. (2025). IoT-based embedded systems for precision agriculture: Design and implementation. SCCTS Journal of Em-bedded Systems Design and Applications, 2(2), 21–29.
    8. Sadulla, S. (2025). Next-Generation Perovskite Solar Cells: Stability Challenges and Scalable Manufacturing. National Journal of Renewable Energy Systems and Innovation, 47-60.
    9. Regina Chandra, W., & Jayabal, R. (2019). Scientometric Study of the Indian Journal of Plastic Surgery. Indian Journal of Information Sources and Services, 9(2), 81–84. https://doi.org/10.51983/ijiss.2019.9.2.618.
    10. Bayartsengel, M., Soleimaniamiri, S., Huang, Z., Wang, Q., & Racha, S. (2024). Enhancing Vulnerable Road User Safety at Signalized Intersections Through Cooperative Perception and Driving Automation (No. FHWA-HRT-24-171). United States. Federal Highway Administration. Office of Safety and Operations Research and Development.
    11. Kapoor, R., & Iyer, S. (2024). Renewable Energy Integration in Sustainable Healthcare Systems. International Journal of SDG’s Prospects and Break-throughs, 2(4), 7-12.
    12. Bejarbaneh, E. Y., Du, H., & Naghdy, F. (2024). Exploring Shared Perception and Control in Cooperative Vehicle-Intersection Systems: A Re-view. IEEE Transactions on Intelligent Transportation Systems.
    13. Muralidharan, J. (2023). Innovative RF design for high-efficiency wireless power amplifiers. National Journal of RF Engineering and Wireless Com-munication, 1(1), 1-9.
    14. Cheng, L. W., & Wei, B. L. (2024). Transforming smart devices and networks using blockchain for IoT. Progress in Electronics and Communication Engineering, 2(1), 60–67.
    15. Kaluvakuri, V. P. K. (2024). Maximize Fleet Value and Safety with Ai: Real-Time Vehicle Tracking, Telematics and Compliance Solutions: 10.55434/CBI. 2024.10103. Caribbean Journal of Sciences and Technology, 12(1), 10-18.
    16. Yusuf, S. A., Khan, A., & Souissi, R. (2024). Vehicle-to-everything (V2X) in the autonomous vehicles domain–A technical review of communication, sensor, and AI technologies for road user safety. Transportation Research Interdisciplinary Perspectives, 23, 100980. https://doi.org/10.1016/j.trip.2023.100980.
    17. Zhao, W., Gong, S., Zhao, D., Liu, F., Sze, N. N., Quddus, M., & Huang, H. (2024). Developing a new integrated advanced driver assistance system in a connected vehicle environment. Expert Systems with Applications, 238, 121733. https://doi.org/10.1016/j.eswa.2023.121733.
    18. Dutta, A., Samaniego Campoverde, L. M., Tropea, M., & De Rango, F. (2024). A comprehensive review of recent developments in VANET for traf-fic, safety & remote monitoring applications. Journal of Network and Systems Management, 32(4), 73. https://doi.org/10.1007/s10922-024-09853-5.
    19. Asadov, B. (2018). The current state of artificial intelligence (AI) and implications for computer technologies. International Journal of Communication and Computer Technologies, 6(1), 15-18.
    20. Patil, A., & Reddy, S. (2024). Electrical Safety in Urban Infrastructure: Insights from the Periodic Series on Public Policy and Engineering. In Smart Grid Integration (pp. 6-12). Periodic Series in Multidisciplinary Studies.
  • Downloads

  • How to Cite

    Soy , A. ., Balkrishna, S. M. ., & Gupta, M. . . (2025). Impact of Connected Vehicle Systems on Road Safety and Heavy Vehicle Fleet Management. International Journal of Basic and Applied Sciences, 14(SI-1), 64-67. https://doi.org/10.14419/jpjfms43