PROJECT TITLE :

A Program for Simultaneous Network Signal Timing Optimization and Traffic Assignment

ABSTRACT:

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 replacement objective function, i.e., weighted trip maximization, and express constraints that are specifically designed to address oversaturated conditions. This formulation improves system-wise performance while regionally 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 resolution technique efficiently optimizes signal timing parameters, at the identical time solves system optimal traffic assignment, and accounts for oversaturated conditions and different driver's behaviors. This study conjointly proposes a framework to calculate an upper sure on the worth of the target perform by solving the problem whereas several constraints (i.e., network loading and traffic assignment) are relaxed. An empirical case study for a little of downtown Springfield, Illinois has been conducted beneath four demand patterns. Findings indicate that our resolution approach can solve the problem effectively. Several managerial insights have also been drawn.