A Cluster Based Feasible Time Interval for Tracking Lost or Stolen Vehicle

Authors

  • Md. Ashraful Babu
  • Md. Mortuza Ahmmed
  • Mir Kaosar Ahamed
  • M. Mostafizur Rahman

Abstract

The system for tracking and monitoring lost or
stolen vehicle is challenging. This device is widely used to
assess the vehicle's location using GPS technology. It can
be used to track a vehicle or vehicle fleet and to obtain
information about the vehicle's current location. There
are various challenges for tracking and monitoring
vehicles and finding
lost
vehicles due to the
lack of proper real-time vehicle location and hence it is
difficult to take necessary action in the immediate proper
time after the vehicle has lost or stolen. In this paper a
Cluster Based Feasible Time Interval for Vehicle
Tracking (CFTVT) algorithm for measuring the
minimum time interval for taking action after the vehicle
has lost or stolen is proposed. This proposed model helps
to imply any appropriate vehicle tracking algorithm in
the exact proper time after the vehicle has been lost or
stolen.

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Published

2022-10-12

How to Cite

Babu, M. A., Ahmmed, M. M., Ahamed, M. K., & Rahman, M. M. (2022). A Cluster Based Feasible Time Interval for Tracking Lost or Stolen Vehicle. AIUB Journal of Science and Engineering (AJSE), 21(1), 5. Retrieved from https://ajse.aiub.edu/index.php/ajse/article/view/105

Issue

Vol. 21 No. 1 (2022): AJSE Volume 21 Issue 1

Section

Articles

License

Copyright (c) 2026 AIUB Journal of Science and Engineering (AJSE)

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