A bi-level model of dynamic traffic signal control with continuum approximation

Integration of predictive routing information with dynamic traffic signal control

Dynamic states of a continuum traffic equation with on-ramp.

We study the phase diagram of the continuum traffic flow model of a highway with an on-ramp. Using an open boundary condition, traffic states and metastabilities are investigated numerically for several representative values of the upstream boundary flux f(up) and for the whole range of the on-ramp flux f(rmp). An inhomogeneous but time-independent traffic state (standing localized cluster stat...

Flexible Approximation Model Approach for Bi-Level Integrated System Synthesis

Bi-Level Integrated System Synthesis (BLISS) is an approach that allows design problems to be naturally decomposed into a set of subsystem optimizations and a single system optimization. In the BLISS approach, approximate mathematical models are used to transfer information from the subsystem optimizations to the system optimization. Accurate approximation models are therefore critical to the s...

A model predictive control approach for decentralized traffic signal control

In this paper, a decentralized control is utilized for the traffic signal control problem using model predictive control. A point-queue model is used with red-green signal transition times. A traffic signal controller is designed to minimize the queue lengths with information from the adjacent intersections. After the signal controller gathers the needed information from the adjacent intersecti...

A bi-level linear multi-objective decision making model with interval coefficients for supply chain coordination

Abstract: Bi-level programming, a tool for modeling decentralized decisions, consists of the objective(s) of the leader at its first level and that is of the follower at the second level. Three level programming results when second level is itself a bi-level programming. By extending this idea it is possible to define multi-level programs with any number of levels. Supply chain planning problem...