Nonlinear Stability Analysis of a Macroscopic Traffic Flow Model for Adaptive Cruise Control Systems
Autor: | Ioannis K. Nikolos, Kallirroi N. Porfyri, Markos Papageorgiou, A. I. Delis |
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Rok vydání: | 2016 |
Předmět: |
Control systems
Engineering Flow (Dynamics) Traffic congestion reconstruction with Kerner's three-phase theory business.industry Macroscopic traffic flow model Traffic flow Dynamics Flow (mathematics) Control theory Traffic engineering Newell's car-following model business Stability Cruise control Simulation Traffic wave |
Zdroj: | Volume 12: Transportation Systems. |
DOI: | 10.1115/imece2016-66470 |
Popis: | The research leading to these results has received funding from the European Research Council under the European Union's Seventh Framework Programme (FP/2007-2013) / ERC Grant Agreement n. 321132, project TRAMAN21. Summarization: The occurrence of perturbations in traffic flow may lead to the formation of stop-and-go waves traveling upstream, or to traffic jams. Therefore, traffic flow stability analysis is considered to be one of the fundamental problems in traffic flow theory, and a lot of effort has been spent to analyze the formation and evolution of such traffic flow instabilities. Recent advances in the field of Vehicle Automation and Communication Systems (VACS), including the most widespread Adaptive Cruise Control (ACC) systems, may consist a possible solution in reducing the magnitude or even eradicating the development of such traffic flow instabilities. This paper aims to perform a nonlinear stability analysis of a second-order macroscopic traffic flow model, which was recently developed by the authors for the simulation of the traffic flow of ACC-equipped vehicles, and identify the ways that ACC systems affect the stability of the flow, in relation with large traffic disturbances around the equilibrium state. Numerical simulations are additionally conducted, to validate the derived stability conditions. Παρουσιάστηκε στο: ASME 2016 International Mechanical Engineering Congress and Exposition |
Databáze: | OpenAIRE |
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