Enhancing artificial intelligence in advanced database systems for Baghdad's urban transportation management

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Abstract

The issue of transportation in Iraqi cities, particularly Baghdad, is multifaceted and intricate, largely due to the horizontal expansion that puts pressure on services and exacerbates traffic congestion and bottlenecks. The ever-growing population and lack of regulation regarding vehicle imports further compound the situation, making urban transportation in Iraq a challenging problem to address. The digital revolution has ushered in a new era of civilization, marked by significant advancements in communication technology and information systems. This transformation has led to the widespread adoption of communication and information technology in various sectors, including transportation management. However, the successful implementation of digital transportation initiatives requires the collection and organization of extensive data, which is then used to develop graphic and visual software technology, create communication networks, and define new functions for visual and audio files. In this digital age, transportation management has evolved into an interdisciplinary field that leverages the insights from various scientific domains to develop and produce digital maps. The primary objective of digital organization is to recreate reality in a virtual environment, enabling the manipulation of images and the seamless integration of locations beyond geographical boundaries.

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Raheem, F. S., & Hasan, A. F. (2023). Enhancing artificial intelligence in advanced database systems for Baghdad’s urban transportation management. Periodicals of Engineering and Natural Sciences, 11(3), 217–228. https://doi.org/10.21533/pen.v11i3.3556

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