AI-Enhanced Systems for Vehicle Fleet Telematics

Authors

  • Dr. Juan Gómez-Olmos Associate Professor of Computer Science, University of Jaén, Spain Author

Keywords:

Vehicle, Fleet, Telematics, AI

Abstract

Vehicle fleet telematics optimizes fleet utilization by integrating telecommunications with monitoring systems. It is the union of two words: telecommunications and informatics. This helps to manage and monitor the installed systems on the newly managed vehicles effectively and efficiently, as these systems can be in constant communication with the control center or data center, and the data can be continuously monitored by the telematics applications. Efficient management leads to considerable cost reductions.

Telematics is a major engineering technological improvement and will enhance the safety, security, maintenance, and operation of modern transport systems, regardless of the origin, destination, and mode of travel. The focus in the last decade has been on incorporating vehicle fleet monitoring systems for timely decisions on incident detection, status monitoring, and location for safety or emergency tracking/communication, and, in some applications, collection of sensor data that includes automatic counting of passengers on public transit vehicles. Telematics is based on the following three components: GPS tracking devices, navigation software, and communication systems such as shortwave radio and satellite systems for communicating and transmitting to the control center. Telematics is experiencing rapid growth in order to collect, transmit, and interpret data from vehicle performance, location, speed, time, and diagnosis of possible issues or the after-execution of planned services. Modern operations find that immediate data analysis must be prioritized, or the position of the vehicle must be processed and updated in real time. Its services can be of enormous value to fleet operators who manage large and complex fleets. The service is not only to provide the right freight delivery on time and at a reduced cost, but also to rationalize the choice of carriers, to show, and allow tracking on the ship.

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Published

21-11-2022

How to Cite

[1]
D. J. Gómez-Olmos, “AI-Enhanced Systems for Vehicle Fleet Telematics”, Distrib Learn Broad Appl Sci Res, vol. 8, pp. 190–206, Nov. 2022, Accessed: Nov. 14, 2024. [Online]. Available: https://dlabi.org/index.php/journal/article/view/174

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