Revista de la Academia de Gestión Estratégica

1939-6104

Abstracto

Management of Artificial Intelligence Traffic Systems in Smart Cities

Jamal M. Assbeihat & Nosheen Rafi

Purpose: The crop up of technologies has emerged in the direction of connected vehicle-infrastructure-pedestrian environment. It became convenient and have low cost to accumulate, stock, utilize, and disposal of data which is taken from different sources. The purpose of research paper is to develop the smart cities and traffic intelligence system by using Artificial Intelligence (AI) techniques and tricks in management of smart cities traffic networks. Methods: The data assembly of this paper explaining and mentioning review of the present vogue in intelligence of transportation. Findings: the findings from research of connected environment information elaborates Smart Traffic Mobility Management and finally the finding helps to plan activities for future ITS and smart cities. Value: the findings of the presented research will assist the administration of smart cities in analyzing public attitudes and perceptions from cyber sources, modelling of CSP Traffic Networks and flow models under connected.

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