FogFly: A traffic light optimization solution based on fog computing

• Main Authors: MINH, Quang Tran, TRAN, Chanh Minh, LE, Tuan An, NGUYEN, Binh Thai, TRAN, Triet Minh, BALAN, Rajesh Krishna
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2018
• Subjects: Fog Computing; Edge Computing; Cloud Computing; Intelligent Transportation System; Adaptive Traffic Signal Control; Traffic Light Optimization; Computational Engineering; Numerical Analysis and Scientific Computing; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/4248; https://ink.library.smu.edu.sg/context/sis_research/article/5251/viewcontent/fogfly__1_.pdf
• Institution: Singapore Management University

This paper provides a fog-based approach to solving the traffic light optimization problem which utilizes the Adaptive Traffic Signal Control (ATSC) model. ATSC systems demand the ability to strictly reflect real-time traffic state. The proposed fog computing framework, namely FogFly, aligns with th...