An IoT based system for vehicle allocation and unlocking using android application with RTDM for smart transportation

  • Authors

    • Aswathi A.R RESEARCH SCHOLAR, SRI KRISHNA ARTS AND SCIENCE COLLEGE, COIMBATORE,TAMIL NADU, INDIA
    • S. R.Umamageswari ASSISTANT PROFESSOR, SRI KRISHNA ARTS AND SCIENCE COLLEGE, COIMBATORE,TAMIL NADU, INDIA
    • K. Sambath PROFESSOR AND HEAD OF DEPARTMENT, SRI KRISHNA ARTS AND SCIENCE COLLEGE, COIMBATORE,TAMIL NADU, INDIA
    2019-04-03
    https://doi.org/10.14419/ijet.v7i4.27489
  • Android Application, Arduino UNO, Commercial Transportation, RTDM (Real-Time Data Monitoring), Wi-Fi Module.

  • An Internet of Things (IoT) technology based smart vehicle management system using android application is used for allocating, unlocking and real time data monitoring (RTDM) mode. This system delivers the information about availability, allocation, and unlocking of vehicles. IoT technology provides a path between user and server for selecting vehicle through mobile app and to unlock the vehicle. Also, between admin and front-end module to monitor the vehicles through website. Special Android app (Trackit) is designed for an easy access of user in their smart phone. Company App have facility to list out the availability of vehicles and can allocate vehicle as per the request from driver. Unlocking of vehicle from parking slot is from Android app according to the command from server after authentication of the driver is another highlight of the system. Administrator can track the details of on-running vehicles from company website with the help of front-end controller affixed in vehicle. The status of company vehicles is stored in database and it can be retrieved by administrator as per the requirement. In future, this system is a best solution for commercial transportation which directly benefits transportation arms of logistics, fleet management and supply chain system.

     

     

     


  • References

    1. [1] John A. Stankovic, “Research Directions for the Internet of Thingsâ€, IEEE Internet of Things Journal, Vol. 1, No. 1, February 2014.

      [2] S. Li, L. Da Xu, and S. Zhao, “The internet of things: a surveyâ€, Inf. Syst. Front., vol. 17, no. 2, pp. 243–259, 2015. https://doi.org/10.1007/s10796-014-9492-7.

      [3] D. Laney, “META Deltaâ€, Appl. Deliv. Strateg. vol. 949, pp. 4, 2001.

      [4] D. Giusto, A. Iera, G. Morabito and L. Atzori (Eds.), The Internet of Things, Springer, 2010. https://doi.org/10.1007/978-1-4419-1674-7.

      [5] L. Atzori, A. Iera and D. Giusto, “The Internet of Things: A Surveyâ€, Computer Networks – Science Direct, 2010.

      [6] Florent Carlier and Val’erie, “IoT – An Embedded Agent for Smart Internet of Things Application on a Display Wallâ€, IEEE/WIC/ACM International Conference on Web Intelligence Workshop, 2016.

      [7] Sun Jianli, “Design and Implementation of IoT -Based Logistics Management Systemâ€, IEEE EEESYM, 2012.

      [8] N. Dheerthi and G. Kiruthikamani, “Real Time Data Monitoring System with Intelligent Vehicle Tracking using ARM7â€, IEEE, 10.1109/GCCT.2015.7342677, April 2015.

      [9] Gokulnath. M and Raagavi. G, “Advanced Vehicle Tracking and Security System using Androidâ€, IJETT, Vol 36, Number 7- June 2016.

      [10] Nalina V, Sandesh A S, Royal Denzil Sequiera and Dr P Jayarekha, “Cloud Based Multiple Vehicle Tracking and Locking Systemâ€, IEEE, July 2015.

      [11] Prashant A. Shinde, Prof. Mr Y.B. Mane and Pandurang H. Tarange, “Real Time Vehicle Monitoring and tracking system based on Embedded Linux Board and Android Applicationâ€, IEEE,, July 2015.

      [12] Abdallah Kassem, Rabih Jabr, Ghady Salamouni and Ziad Khairallah Maalouf, “Vehicle Black Box Systemâ€, IEEE, 10.1109/SYSTEMS.2008.4519050, May 2008.

      [13] L. Jamjoom, A. Alshmarani, S. M. Qaisar and M. Akbar, “A Wireless Controlled Digital Car Lock for Smart Transportationâ€, IEEE, 2018. https://doi.org/10.1109/LT.2018.8368510.

      [14] Anitha Chepuru and Dr K.Venugopal Rao. (2015). A Survey on IoT Applications for Intelligent Transport Systems. IJCESR. Vol-2. Issue-8.

      [15] E. K. Priya, P. Manju, V. Mythra, and S. Umamaheswari, “IoT Based Vehicle Tracking and Accident Detection Systemâ€, pp. 4424–4430, 2017.

      [16] Dina Fitria Murad, Meyliana, Achmad Nizar Hidayanto and Harjanto Prabowo, “IoT for Development of Smart Public Transportation System: A Systematic Literature Reviewâ€, IJPAM. Volume 118, No. 18, 2018.

      [1] B. Karakostas, “A DNS architecture for the internet of things: A case study in transport logisticsâ€, Procedia Comput. Sci. vol. 19. pp. 594–601, 2013. https://doi.org/10.1016/j.procs.2013.06.079.

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  • How to Cite

    A.R, A., R.Umamageswari, S., & Sambath, K. (2019). An IoT based system for vehicle allocation and unlocking using android application with RTDM for smart transportation. International Journal of Engineering & Technology, 7(4), 5489-5493. https://doi.org/10.14419/ijet.v7i4.27489