Data analytics for traffic flow prediction in custom using Long Short Term Memory (LSTM) networks

• Main Authors: Lee, Pin Loon, Refaie, Elbaraa, Mohd. Faudzi, Ahmad Athif
• Format: Conference or Workshop Item
• Language: English
• Published: 2021
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/98195/1/AhmadAthif2021_DataAnalyticsForTrafficFlowPredictionInCustom.pdf; http://eprints.utm.my/id/eprint/98195/; http://dx.doi.org/10.1088/1742-6596/2107/1/012006

This paper proposes data analysis for traffic flow prediction of customs to help the officer in Customs, Immigration, and Quarantine (CIQ) Complex to understand more about the traffic situation in CIQ. Currently in CIQ, the traffic behaviour for car is unpredictable; sometimes the traffic is very he...