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Urban Road Traffic Fuel Consumption Optimization via Variable Speed Limits or Signalized Access Control: A Comparative Study

Bassel Othman 1, 2 Giovanni de Nunzio 1 Domenico Domenico 1 Carlos Canudas-De-Wit 2
2 DANCE - Dynamics and Control of Networks
Inria Grenoble - Rhône-Alpes, GIPSA-PAD - GIPSA Pôle Automatique et Diagnostic
Abstract : This work focuses on comparing the ecological potential of variable speed limits (VSLs) and signalized access control. A synthetic two-region network composed of an urban and a peri-urban area is considered. This study aims at improving the energy efficiency in both areas. A microscopic traffic simulator (SUMO) is used to model the dynamics of the system. It is controlled by a nonlinear model predictive control (NMPC) framework based on a macroscopic traffic model, which is an adapted version of the cell transmission model (CTM). The controller is coupled with an artificial neural network (ANN) to predict the fuel consumption. Finally, microscopic physical energy and NOx models are used to evaluate the performance of both control actuators. The results reveal that VSLs are more promising due to the smoother variation of the densities.
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Submitted on : Friday, October 1, 2021 - 12:17:21 PM
Last modification on : Tuesday, October 19, 2021 - 11:18:17 AM

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Bassel Othman, Giovanni de Nunzio, Domenico Domenico, Carlos Canudas-De-Wit. Urban Road Traffic Fuel Consumption Optimization via Variable Speed Limits or Signalized Access Control: A Comparative Study. CDC 2021 - 60th IEEE conference on Decision and Control, Dec 2021, Austin, Texas, United States. pp.1-6. ⟨hal-03361310⟩

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