The implementation of traffic analytics using deep learning and big data technology with garuda smart city framework
Supangkat S.H.a, Hidayat F.a, Dahlan I.A.a, Hamami F.a
a School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Bandung, Indonesia
Abstract
© 2019 IEEE.Nowadays the population in the city grow rapidly [1]. It may cause many problems and those must be tackled with smart city solution because manual policy cannot handle that situation due to limited physical supporting tools [1] [2]. One of the problems is traffic congestion and its management. Moreover, other smart city initiatives such as traffic control and violence detection are applied to solve that issue in order to improve quality of life [3]. In this paper, a cloud-based with big data and video analytics with deep learning are proposed in the context of efficiency where accuracy and speed of processing and transmissions play a critical role into access policy and control with our integration platform based on Garuda Smart City Framework (GSCF) [1] [4].
Author keywords
Access policies,Data technologies,Garuda Smart City Framework,Integration platform,Supporting tool,Traffic analytics,Video analytics,Violence detections
Indexed keywords
Big Data,Deep learning,Garuda Smart City Framework,Integration platform,Smart city,Video analytics
Funding details
This research is jointly supported by LPDP RISPRO KOMERSIAL Ministry of Finance and Smart City Community Lab in Bandung Institute of Technology (ITB) Bandung.