With the ongoing rise of demand in traffic networks, congestion control has become of major importance for urban areas. In this paper, we introduce the notion of network utility maximization for boundary flow control of urban networks. We describe how maximizing the aggregate utility of the network leads to a fair allocation of network resources to different arrivals while maintaining system stability. We demonstrate how utility maximization problem can be solved using Alternating Direction Method of Multipliers (ADMM). We further show how our algorithm can be partially distributed such that each entry link finds its arrival for maximizing its own objective while maximizing the total utility of the network. We showcase the performance of our algorithm in an example illustrating fast convergence of our method and its capability in stabilizing the network.
|Title of host publication
|2017 IEEE 20th International Conference on Intelligent Transportation Systems, ITSC 2017
|Institute of Electrical and Electronics Engineers Inc.
|Number of pages
|Published - Mar 14 2018
|20th IEEE International Conference on Intelligent Transportation Systems, ITSC 2017 - Yokohama, Kanagawa, Japan
Duration: Oct 16 2017 → Oct 19 2017
|IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
|20th IEEE International Conference on Intelligent Transportation Systems, ITSC 2017
|10/16/17 → 10/19/17
ASJC Scopus subject areas
- Automotive Engineering
- Mechanical Engineering
- Computer Science Applications