Publications by Jack Haddad | EPFL Graph Search

Related publications (13)

Dynamics of heterogeneity in urban networks: aggregated traffic modeling and hierarchical control

Nikolaos Geroliminis, Mohsen Ramezani Ghalenoei, Jack Haddad

Real traffic data and simulation analysis reveal that for some urban networks a well-defined Macroscopic Fundamental Diagram (MFD) exists, which provides a unimodal and low-scatter relationship between the network vehicle density and outflow. Recent studie ...

2015

Optimal Hybrid Perimeter and Switching Plans Control for Urban Traffic Networks

Nikolaos Geroliminis, Jack Haddad

Since centralized control of urban networks with detailed modeling approaches is computationally complex, developing efficient hierarchical control strategies based on aggregate modeling is of great importance. The dynamics of a heterogeneous large-scale u ...

Institute of Electrical and Electronics Engineers2015

On the stability of traffic perimeter control in two-region urban cities

Nikolaos Geroliminis, Jack Haddad

In this paper, stability analysis of traffic control for two-region urban cities is treated. It is known in control theory that optimality does not imply stability. If the optimal control is applied in a heavily congested system with high demand, traffic c ...

Elsevier2012

Optimal Perimeter Control for Two Urban Regions With Macroscopic Fundamental Diagrams: A Model Predictive Approach

Nikolaos Geroliminis, Mohsen Ramezani Ghalenoei, Jack Haddad

Recent analysis of empirical data from cities showed that a macroscopic fundamental diagram (MFD) of urban traffic provides for homogenous network regions a unimodal low-scatter relationship between network vehicle density and network space-mean flow. In t ...

IEEE Institute of Electrical and Electronics Engineers2013

Model Predictive Perimeter Control for Urban Areas with Macroscopic Fundamental Diagrams

Nikolaos Geroliminis, Mohsen Ramezani Ghalenoei, Jack Haddad

Recent analysis of empirical data from cities showed that a macroscopic fundamental diagram (MFD) of urban traffic provides for different network regions a unimodal, low-scatter relationship between network vehicle density and network space-mean flow. In t ...

Ieee Computer Soc2012

Design of Optimal Traffic Flow Control at Intersection with Regard for Queue Length Constraints

Jack Haddad

Consideration was given to a well-known problem of traffic control at an individual intersection with minimal total delay. The constraints on control (duration of green light in the main direction) and phase variables (queue lengths along each direction) w ...

2011

Cooperative traffic control of a mixed network with two urban regions and a freeway

Nikolaos Geroliminis, Mohsen Ramezani Ghalenoei, Jack Haddad

Currently most optimization methods for urban transport networks (i) are suited for networks with simplified dynamics that are far from real-sized networks or (ii) apply decentralized control, which is not appropriate for heterogeneously loaded networks or ...

Elsevier2013

Jack Haddad

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Dynamics of heterogeneity in urban networks: aggregated traffic modeling and hierarchical control

Optimal Hybrid Perimeter and Switching Plans Control for Urban Traffic Networks

On the stability of traffic perimeter control in two-region urban cities

Optimal Perimeter Control for Two Urban Regions With Macroscopic Fundamental Diagrams: A Model Predictive Approach

Model Predictive Perimeter Control for Urban Areas with Macroscopic Fundamental Diagrams

Design of Optimal Traffic Flow Control at Intersection with Regard for Queue Length Constraints

Cooperative traffic control of a mixed network with two urban regions and a freeway

Integrating the dynamics of heterogeneity in aggregated network modeling and control

Stability of Traffic Control in Two-Region Urban Cities

Effect of Left Turns for Arterials with Queue Spillbacks

Model predictive perimeter-control for two-region urban cities

Macroscopic Traffic Control of a Mixed Urban and Freeway Network

Two-level hierarchical traffic control for heterogeneous urban networks