Putra, Rakhmad Gusta P and Pribadi, Wahyu and Juliando Sudirman, Dirvi Eko and Subkhan, Muhamad Fajar
(2023)
Design of automatic truck axle counter using deep learning on NVIDIA Jetson Nano / Rakhmad Gusta Putra ... [et.al.].
Journal of Smart Science and Technology, 3 (2): 6.
pp. 74-82.
ISSN 2785-924X
Abstract
To improve the quality of transportation, it is necessary to make right decisions based on accurate data. The flow of vehicles is important in the planning and operation of new roads and the modification of existing roads is needed to meet changes in traffic conditions. To get information about traffic characteristics, various information about traffic infrastructure and driver behavior is needed. The information obtained is analyzed to obtain traffic workload results. If the workload results are below the minimum service standard, a geometric change or arrangement of road space usage is required. The calculation of the number and classification of vehicles has been done manually at certain times.
Metadata
Item Type: | Article |
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Creators: | Creators Email / ID Num. Putra, Rakhmad Gusta P UNSPECIFIED Pribadi, Wahyu UNSPECIFIED Juliando Sudirman, Dirvi Eko UNSPECIFIED Subkhan, Muhamad Fajar UNSPECIFIED |
Subjects: | H Social Sciences > H Social Sciences (General) H Social Sciences > H Social Sciences (General) > Research |
Divisions: | Universiti Teknologi MARA, Sarawak |
Journal or Publication Title: | Journal of Smart Science and Technology |
UiTM Journal Collections: | Listed > Journal of Smart Science and Technology (JSST) |
ISSN: | 2785-924X |
Volume: | 3 |
Number: | 2 |
Page Range: | pp. 74-82 |
Keywords: | Truck; Axle counter; Deep learning; Jetson nano |
Date: | September 2023 |
URI: | https://ir.uitm.edu.my/id/eprint/85348 |