MPC Research Reports
Report Details

Title:	Adaptive Signal Control II
Authors:	Bhargava Rama Chilukuri, Yuqi Feng, Chantan Jhaveri, Peter T. Martin, and Joseph Perrin
University:	University of Utah
Publication Date:	Jan 2003
Report #:	MPC-03-141
Project #:	MPC-226, MPC-210
TRID #:	00940578
Keywords:	adaptive control, congestion management systems, incident management, traffic control, traffic flow, traffic signal control systems, traffic signal intervals, traffic signal timing

Abstract

Increasing traffic congestion is a constant source of frustration, time loss, and expense to users and managers of transportation systems. Cities, counties, and state transportation agencies are persistently searching for ways to mitigate urban traffic congestion, while minimizing costs and maintenance requirements. In urban areas, traffic signals are the limiting factors and common congestion points.

This report is a comprehensive investigation of adaptive signal control. The literature review identifies the various control types and the typical benefits of adaptive control over other signal controls. Congestion, incidents, and transit priority all are discussed and examined by modeling, first on a theoretical network, and then on four Salt Lake City area networks using field collected data. This modeling was possible through the University of Utah-built interface between the micro-simulation models CORSIM and VISSIM and the Split, Cycle and Offset Optimization Technique (SCOOT).

The study results identify the benefits of adaptive control over fixed-time control during normal operations, incident conditions, and with transit priority.