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Enhancing feedback perimeter controllers for urban networks by use of online learning and data-driven adaptive optimization
(2016)An adaptive scheme for perimeter control of heterogeneous transportation networks is presented. The proposed methodology utilizes the concept of the Macroscopic Fundamental Diagram (MFD) integrated with an adaptive optimization technique. First, a new MFD-based macroscopic model is introduced to describe the dynamics of heterogeneous urban networks that can be partitioned in a small number of homogeneous regions. The non-linear model ...Conference Paper -
Estimation of macroscopic traffic variables in cities with big but sparse multi-sensor data
(2016)As urban centers become persistently denser and wider, research on realistic macroscopic models has steadily gained momentum over the last decades. Many efforts have been carried out on the modeling of traffic in urban environments, but also on the suitability of such models for real time congestion management and their potential policy implications. Surprisingly however, there are very few works in the literature that aim at estimating ...Conference Paper -
A convex formulation for model predictive perimeter flow control in multi-region cities
(2016)An alternative approach for real-time network-wide control that has recently gained a lot of interest is the perimeter flow control. The basic concept of such an approach is to partition heterogeneous cities into a small number of homogeneous regions (zones) and apply perimeter control to the inter-regional flows along the boundaries between regions. The inter-transferring flows are controlled at the intersections located at the borders ...Conference Paper -
A convex formulation for optimal distribution of congestion in multi-region cities
(2016)Conference Paper