Work

A dynamic system characterization of road network node models**This work was supported by the California Department of Transportation.

Year: 2016

Type: article

Abstract: The propagation of traffic congestion along roads is a commonplace nonlinear phenomenon. When many roads are connected in a network, congestion can spill from one road to others as drivers queue to enter a congested road. This paper considers the node model problem, which refers to methods for solving for cross-flows when roads meet at a junction. We present a simple hybrid dynamic system that, given a macroscopic snapshot of the roads entering an exiting a road, intuitively models the node’s throughflows over time. This dynamic system produces solutions to the node model problem that are equal to those produced by many popular node models without intuitive physical meanings. We also show how the earlier node models can be rederived as executions of our dynamic system. The intuitive physical description supplied by our system provides a base for control of the road junction system dynamics, as well as the emergent network dynamics.

Source: IFAC-PapersOnLine

DOI: 10.1016/j.ifacol.2016.10.307

Authors: Matthew Wright, Roberto Horowitz, Alex A. Kurzhanskiy

Institution: University of California, Berkeley

Language: English

Topic: Traffic control and management

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: diamond

Funder: California Department of Transportation