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 problem while 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.
A Program for Simultaneous Network Signal Timing Optimization and Traffic Assignment
IEEE Transactions on Intelligent Transportation Systems ; 16 , 5 ; 2573-2586
01.10.2015
1383882 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
A Program for Simultaneous Network Signal Timing Optimization and Traffic Assignment
Online Contents | 2015
|Traffic Signal Timing Optimization
Transportation Research Record | 2013
|System Optimal Time-Dependent Path Assignment and Signal Timing in Traffic Network
Online Contents | 1998
|System Optimal Time-Dependent Path Assignment and Signal Timing in Traffic Network
British Library Conference Proceedings | 1998
|System Optimal Time-Dependent Path Assignment and Signal Timing in Traffic Network
Transportation Research Record | 1998
|