Regulation Models of Crossroad Based on Wireless Sensor Networks and Notions of the Fluid Mechanics
Kabrane Mustapha1, Khaoula Karimi2, Salah-dine Krit3, El maimouni Lahoucine4
1Mustapha Kabrane, Laboratory of Engineering Sciences and Energy. Polydisciplinary Faculty of Ouarzazate, Ibn Zohr University, Agadir Morocco.
2Khaoula Karimi , Laboratory of Engineering Sciences and Energy. Polydisciplinary Faculty of Ouarzazate, Ibn Zohr University, Agadir Morocco.
3Salah-Ddine Krit, Laboratory of Engineering Sciences and Energy. Polydisciplinary Faculty of Ouarzazate, Ibn Zohr University, Agadir Morocco.
4Lahoucine El Maimouni, Laboratory of Engineering Sciences and Energy. Polydisciplinary Faculty of Ouarzazate, Ibn Zohr University, Agadir Morocco.
Manuscript received on January 26, 2020. | Revised Manuscript received on February 05, 2020. | Manuscript published on February 30, 2020. | PP: 2536-2541 | Volume-9 Issue-3, February 2020. | Retrieval Number: C5153029320/2020©BEIESP | DOI: 10.35940/ijeat.C5153.029320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The permanent growth of the population in smart cities has increased the number of vehicles. Consequently the problem of traffic congestion has become one of the main problems to be solved by today’s traffic control systems, especially at traffic intersections. In fact, the traditional method which avoids the congestion in a crossroads is the classic command (Timing) by means of traffic lights. However, the traffic light management modes are sometimes based on classic models which make them unsuitable for the treatment of different experienced situations in traffic (either dense or fluid traffic). Fortunately, thanks to the significant progress made, especially the use of New Information Technologies and Communications for example Wireless Sensor Network, for the regulation of traffic, are solutions become central in the field of urban traffic management. They have made it possible to propose more effective control mechanisms to reduce the effects of traffic congestion. In this article, we will present the continuation of our work [1], the objective is to offer to the users of the road a crossing time as long as possible, while preventing the car cap to propagate over a distance that is set between two wireless sensors, to do this, we can act on the setting of the traffic light to regulate traffic in intersections.
Keywords: Regulation models, Traffic congestion, smart cities, wireless sensor network, Crossing time, fluid mechanics.