Van Den Heever, Willem Christoffel (2018) Smart Collision Avoidance System for mining using LTE for inter-vehicular communication. [USQ Project]
Abstract
The purpose of this research was to establish if Long Term Evolution (LTE) could be used for inter-vehicular communication in the mining sector; more specifically, for the use in smart Global Positioning System (GPS)-based collision avoidance systems. All the research was conducted at Premier Coal, Western Australia, using their privately owned enhanced Long Term Evolution (eLTE) network. Motivation for this study stems from the fact that the existing collision avoidance system at Premier Coal has become antiquated. Moreover, product support will end by December 2019. A unique opportunity was realised to develop a new collision avoidance system that relies on eLTE for intervehicular communication. This study was designed to investigate: LTE black spot areas; network latency; packet loss; maximum message frequency; the impact of weather; and GPS accuracy. Findings show that: there are no black spot areas within the mining area; the network latency is well below the 100 millisecond requirement1 ; packet loss is below 1 percent; maximum message frequency is 3 times better that the required 10 messages per second2 ; and weather has negligible or no impact on performance. Also, the median GPS error was found to be below 6 metres, however, the standard deviation was ≈11 metres. Finally, the conclusions are: first, eLTE performs very well in a mining environment and the overall performance comply with C-ITS requirements - meaning LTE can be considered for the use collision avoidance systems; secondly, even though the GPS results provide good median accuracies, the standard deviation is high and unacceptable. For future research: it is recommended to investigate the use of Satellite Based Augmented System (SBAS) to improve GPS accuracies, and also the potential use of LTE for vehicular environments (LTE-V) to eliminate the risk of black spot situations.
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| Item Type: | USQ Project |
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| Item Status: | Live Archive |
| Additional Information: | Bachelor of Electrical & Electronic Engineering |
| Faculty/School / Institute/Centre: | Historic - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 Jul 2013 - 31 Dec 2021) |
| Supervisors: | Kist, Alexander |
| Date Deposited: | 31 Aug 2022 01:32 |
| Last Modified: | 05 Sep 2022 02:33 |
| Uncontrolled Keywords: | Long Term Evolution (LTE); inter-vehicular communication; mining sector; Global Positioning System (GPS); collision avoidance systems |
| URI: | https://sear.unisq.edu.au/id/eprint/40704 |
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