Human mobility data in the COVID-19 pandemic: characteristics, applications, and challenges
The COVID-19 pandemic poses unprecedented challenges around the world. Many studies
have applied mobility data to explore spatiotemporal trends over time, investigate …
have applied mobility data to explore spatiotemporal trends over time, investigate …
A systematic review of big data-based urban sustainability research: State-of-the-science and future directions
The future of humanity depends increasingly on the performance of cities. Big data provide
new and powerful ways of studying and improving coupled urban environmental, social, and …
new and powerful ways of studying and improving coupled urban environmental, social, and …
[PDF][PDF] Optimizing public transit networks an exploration of how multi-modal transportation systems can be integrated in smart cities
R Chadalawada - 2024 - researchgate.net
This study investigates strategies for optimizing public transit networks within the framework
of smart cities, emphasizing the crucial need for seamless integration across multiple modes …
of smart cities, emphasizing the crucial need for seamless integration across multiple modes …
Emerging technologies for smart cities' transportation: geo-information, data analytics and machine learning approaches
With the recent increase in urban drift, which has led to an unprecedented surge in urban
population, the smart city (SC) transportation industry faces a myriad of challenges …
population, the smart city (SC) transportation industry faces a myriad of challenges …
Big data processing and analysis in internet of vehicles: architecture, taxonomy, and open research challenges
The extensive progression in the Internet of Vehicles (IoV) and the exponential upsurge in
data consumption reflect the importance of big data in IoV. In general, big data has gained a …
data consumption reflect the importance of big data in IoV. In general, big data has gained a …
Disruptive technologies in smart cities: a survey on current trends and challenges
LD Radu - Smart Cities, 2020 - mdpi.com
This paper aims to explore the most important disruptive technologies in the development of
the smart city. Every smart city is a dynamic and complex system that attracts an increasing …
the smart city. Every smart city is a dynamic and complex system that attracts an increasing …
Explore big data analytics applications and opportunities: A review
Big data applications and analytics are vital in proposing ultimate strategic decisions. The
existing literature emphasizes that big data applications and analytics can empower those …
existing literature emphasizes that big data applications and analytics can empower those …
The application of artificial intelligence and big data in the food industry
Over the past few decades, the food industry has undergone revolutionary changes due to
the impacts of globalization, technological advancements, and ever-evolving consumer …
the impacts of globalization, technological advancements, and ever-evolving consumer …
Smart mobility in the cloud: Enabling real-time situational awareness and cyber-physical control through a digital twin for traffic
This article presents the design, implementation, and use cases of the Chattanooga Digital
Twin (CTwin) towards the vision for next-generation smart city applications for urban mobility …
Twin (CTwin) towards the vision for next-generation smart city applications for urban mobility …
[HTML][HTML] A sustainable smart mobility? Opportunities and challenges from a big data use perspective
This paper discusses the recent insights on the Big Data role in the sustainability of smart
mobility. Systematic Literature Review is applied to scientific publications web repositories …
mobility. Systematic Literature Review is applied to scientific publications web repositories …