Distributed Optimal Control for Trafc Networks with Fog Computing

• 作 者: Yijie Wang Lei Wang Saeed Amir Qing-Guo Wang
• 机 构: Department of Operations Research at the University of Texas at Austin, Austin, Texas, 76019 USA;Sch
• 出 处: 中国通信（英文版）
• 发表日期: 2019年10期
• 关键词: fog computing traffic network distributed optimization distributed control

This paper presents a distributed optimization strategy for large-scale traffic network based on fog computing. Different from the traditional cloud-based centralized optimization strategy, the fog-based distributed optimization strategy distributes its computing tasks to individual sub-processors, thus significantly reducing computation time. A traffic model is built and a series of communication rules between subsystems are set to ensure that the entire transportation network can be globally optimized while the subsystem is achieving its local optimization. Finally, this paper numerically simulates the operation of the traffic network by mixed-Integer programming, also, compares the advantages and disadvantages of the two optimization strategies.