Overcoming Control Challenges in Urban Traffic

5 Pages Posted: 5 Jun 2018 Last revised: 22 Jun 2018

See all articles by Ilyas Khelafa

Ilyas Khelafa

University Hassan II of Casablanca

A Ballouk

University Hassan II of Casablanca

A Baghdad

University Hassan II of Casablanca

M El Hachimi

University Hassan II of Casablanca

Date Written: May 28, 2018

Abstract

Along with the fast development of the transportation infrastructures, traffic networks become larger and more complex. Therefore, Intending to reduce traffic congestion in urban areas due to the economical and environmental problems, analysis and control of existing infrastructures is indispensable, which in order improve safety and reduce the time spend by cars on the roads. This study compares a structured network-wide traffic controller based on Model Predictive Control (MPC) theory, which it represent a Simplified model (S model) and fixed-time (FT) controller. The fixed-time control strategy is executed in the traffic network, where the fixed-time signals are designed based on the data for the saturated scenario. Based on historical data, the fixed time assumes that the traffic patterns could be predicted accurately. On the other hand, MPC controllers are able to be efficient by reducing computation time and to be accurate too, in a systematic methodology to control multi-modal traffic lights based on a model predictive control approach. Then this study focus on two issues, the first one is the nonlinearity of the traffic prediction model and it is demonstrated how this model could be simplified to reduce the on-line computation time, then the complex urban road networks can be handled by the control system with more efficiently. The second issue is to propose a reduction of the congestion, within the model predictive control system based on internal flow model to minimize a cost function along a given time horizon.

Keywords: Model predictive control (MPC); urban traffic control; simplified model; fixed time (FT) controller

Suggested Citation

Khelafa, Ilyas and Ballouk, A and Baghdad, A and El Hachimi, M, Overcoming Control Challenges in Urban Traffic (May 28, 2018). Smart Application and Data Analysis for Smart Cities (SADASC'18), Available at SSRN: https://ssrn.com/abstract=3186332 or http://dx.doi.org/10.2139/ssrn.3186332

Ilyas Khelafa (Contact Author)

University Hassan II of Casablanca ( email )

Rue Tarik Ibnou Ziad
Casablanca, 20000
Morocco

A Ballouk

University Hassan II of Casablanca ( email )

Rue Tarik Ibnou Ziad
Casablanca, 20000
Morocco

A Baghdad

University Hassan II of Casablanca ( email )

Rue Tarik Ibnou Ziad
Casablanca, 20000
Morocco

M El Hachimi

University Hassan II of Casablanca ( email )

Rue Tarik Ibnou Ziad
Casablanca, 20000
Morocco

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