Conservation-Based Modeling and Boundary Control of Congestion with an Application to Traffic Management in Center City Philadelphia

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper develops a conservation-based approach to model traffic dynamics and alleviate traffic congestion in a network of interconnected roads (NOIR). We generate a NOIR by using the Simulation of Urban Mobility (SUMO) software based on the real street map of Philadelphia Center City. The NOIR is then represented by a directed graph with nodes identifying distinct streets in the Center City area. By classifying the streets as inlets, outlets, and interior nodes, the model predictive control (MPC) method is applied to alleviate the network traffic congestion by optimizing the traffic inflow and outflow across the boundary of the NOIR with consideration of the inner traffic dynamics as a stochastic process. The proposed boundary control problem is defined as a quadratic programming problem with constraints imposing the feasibility of traffic coordination, and a cost function defined based on the traffic density across the NOIR.

Original languageEnglish (US)
Title of host publication2021 Australian and New Zealand Control Conference, ANZCC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages49-54
Number of pages6
ISBN (Electronic)9781665416504
DOIs
StatePublished - 2021
Externally publishedYes
Event2021 Australian and New Zealand Control Conference, ANZCC 2021 - Gold Coast, Australia
Duration: Nov 25 2021Nov 26 2021

Publication series

Name2021 Australian and New Zealand Control Conference, ANZCC 2021

Conference

Conference2021 Australian and New Zealand Control Conference, ANZCC 2021
Country/TerritoryAustralia
CityGold Coast
Period11/25/2111/26/21

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

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