A Framework for Integrating Transportation Into Smart Cities

In recent years, economic, environmental, and political forces have quickly given rise to “Smart Cities” -- an array of strategies that can transform transportation in cities. Using a multi-method approach to research and develop a framework for smart cities, this study provides a framework that can be employed to: Understand what a smart city is and how to replicate smart city successes; The role of pilot projects, metrics, and evaluations to test, implement, and replicate strategies; and Understand the role of shared micromobility, big data, and other key issues impacting communities. This research provides recommendations for policy and professional practice as it relates to integrating transportation into smart cities

Trends in Smart City Development

This report examines the meanings and practices associated with the term 'smart cities.' Smart city initiatives involve three components: information and communication technologies (ICTs) that generate and aggregate data; analytical tools which convert that data into usable information; and organizational structures that encourage collaboration, innovation, and the application of that information to solve public problems

Car parking management system

In the contemporary world, a prevalent challenge we confront is the rapid growth of the global population. This demographic expansion has given rise to several consequential problems, including the proliferation of automobiles on our roadways. The surge in vehicle numbers has led to congested traffic conditions and a scarcity of available parking spots, consequently fostering the problem of unauthorized parking. This unauthorized parking, in turn, poses a significant threat to the security of vehicles. In this area of high automobile traffic, the main issue arises when there is no management in the parking of automobiles. Due to this, there are high chances of accidents. To accomplish this task, we implemented a car parking system which is really very reliable and decreases the chance of risk in parking the vehicles. We proposed a car parking system which will calculate the empty slots available in the given parking place. Here, we have taken an ideal case of having 32 slots available in the parking place. We implemented and synthesized the project on the XILINX VIVADO platform using Verilog HDL. Hardware prototyping is done on Nexys a7 FPGA board

Transportation for a New Era -- Growing More Sustainable Communities

Outlines policy recommendations to create a national vision recognizing the links between land use, infrastructure, and sustainable communities; support metropolitan areas; foster more compact development; and invest effectively in transportation

Mobility and Equity for New York's Transit-Starved Neighborhoods: The Case for Full-Featured Bus Rapid Transit

New York City's public transportation system moves millions of people every day. But an increasing number who live in outer borough neighborhoods are stuck with unreliable transit options and long travel times tracked in hours, not minutes.It does not have to be this way.Developed by the Pratt Center for Community Development and funded by the Rockefeller Foundation, this report highlights the limitations of New York City's current public transit system, the adverse effects those limitations have on our economy and quality of life, and the role Bus Rapid Transit (BRT) can play in remedying these transit inequities.BRT has transformed cities across the world from Mexico City to Barcelona to Cleveland. At a fraction of the cost to build just a mile of subway rail, BRT gives riders a reliable way to get where they need to go.BRT is effective. It is innovative. And it could be the solution for New York's transit-starved neighborhoods

Applications of AI, IoT, and Cloud Computing in Smart Transportation: A Review

Smart transportation systems have emerged as a promising solution for improving the efficiency, safety, and sustainability of transportation. The integration of emerging technologies such as Artificial Intelligence (AI), Internet of Things (IoT), and Cloud Computing has enabled the development of intelligent transportation systems that can optimize traffic flow, enhance driver safety, and reduce transportation costs. In this study, we conducted a systematic review of the literature to explore the applications of AI, IoT, and Cloud Computing in smart transportation systems. Our findings indicate that AI can be used for autonomous vehicles, traffic management, predictive maintenance, driver assistance, and demand forecasting. IoT can enable connected vehicles, real-time fleet management, smart parking, traffic monitoring, and remote diagnostics. Cloud Computing can facilitate vehicle-to-cloud communication, scalable infrastructure, data analytics, mobility-as-a-service, and predictive maintenance. The integration of these technologies can result in a comprehensive smart transportation system that can improve the overall efficiency of transportation systems. Our study provides insights for researchers, practitioners, and policymakers on the potential applications of AI, IoT, and Cloud Computing in smart transportation systems