A Program for Simultaneous Network Signal Timing Optimization and Traffic Assignment

Ali Hajbabaie

doi:10.1109/TITS.2015.2413360

Return

A Program for Simultaneous Network Signal Timing Optimization and Traffic Assignment

2015-10-01

PRE

Ali Hajbabaie *

Rahim F. Benekohal

DOI：10.1109/TITS.2015.2413360

Original

Original request for help

Save

Abstract

En 中文

This study formulates a program for simultaneous traffic signal optimization and system optimal traffic assignment for urban transportation networks with added degree of realism. The formulation presents a new objective function, i.e., weighted trip maximization, and explicit constraints that are specifically designed to address oversaturated conditions. This formulation improves system-wise performance while locally prevents queue spillovers, de-facto reds, and gridlocks. A meta-heuristic algorithm is developed that incorporates microscopic traffic flow models and system optimal traffic assignment in genetic algorithms. This solution technique efficiently optimizes signal timing parameters, at the same time solves system optimal traffic assignment, and accounts for oversaturated conditions and different driver's behaviors. This study also proposes a framework to calculate an upper bound on the value of the objective function by solving the problemwhile several constraints (i.e., network loading and traffic assignment) are relaxed. An empirical case study for a portion of downtown Springfield, Illinois has been conducted under four demand patterns. Findings indicate that our solution approach can solve the problem effectively. Several managerial insights have also been drawn.

Keywords:

Network signal timing optimization

traffic assignment

genetic algorithms

weighted trip maximization

objective function upper-bound

system optimal

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.