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It aims to investigate the integration of smart transportation systems to enhance urban sustainability. The increasing urbanization and population growth pose significant challenges to traditional transportation infrastructure, leading to congestion, pollution, and inefficiency. This study seeks to address these issues by employing cutting-edge technologies and a multidisciplinary approach.

The research proposal helps begin with a comprehensive literature review to establish the current state of urban transportation and identify gaps in existing solutions. It will then propose the development of a smart transportation system that incorporates real-time data analytics, artificial intelligence, and Internet of Things (IoT) devices. These technologies will enable efficient traffic management, reduce emissions, and improve overall transportation infrastructure.To ensure the success of the proposed system, the proposed research will engage experts from diverse fields such as urban planning, engineering, data science, and environmental science. Collaboration with local government agencies and private sector stakeholders will be emphasized to ensure the practicality and scalability of the proposed solutions.The study’s significance lies in its potential to transform urban transportation, making cities more sustainable, livable, and environmentally friendly. The expected outcomes include reduced traffic congestion, lower carbon emissions, and improved overall quality of life for urban residents.

This research proposal aligns with current global initiatives for sustainable development and smart city planning, providing a timely and relevant contribution to the ongoing discourse on urbanization and transportation challenges. Ultimately, the research aims to inform policymakers, urban planners, and transportation authorities on effective strategies for building smarter and more sustainable cities.