Big Data for transportation and mobility: recent advances, trends and challenges
Big Data is an emerging paradigm and has currently become a strong attractor of global
interest, specially within the transportation industry. The combination of disruptive …
interest, specially within the transportation industry. The combination of disruptive …
Taxi of the future: Big data analysis as a framework for future urban fleets in smart cities
S Schatzinger, CYR Lim - Smart and Sustainable Planning for Cities and …, 2017 - Springer
Smart city needs smart mobility—travel should be made as convenient as possible through
sustainable urban transport solutions. Transportation systems in many parts of the world are …
sustainable urban transport solutions. Transportation systems in many parts of the world are …
Big Data and Deep Learning in Smart Cities: A Comprehensive Dataset for AI-Driven Traffic Accident Detection and Computer Vision Systems
In the dynamic urban landscape, where interplay of vehicles and pedestrians defines the
rhythm of life, integrating advanced technology for safety and efficiency is increasingly …
rhythm of life, integrating advanced technology for safety and efficiency is increasingly …
Cityaction a smart-city platform architecture
P Martins, D Albuquerque, C Wanzeller… - Advances in Information …, 2020 - Springer
Fast population growth in cities and surrounding regions force cities to become smarter to
have a sustainable economy, social quality, and environmental well-being. Smart-Cities will …
have a sustainable economy, social quality, and environmental well-being. Smart-Cities will …
[图书][B] Big Data Analytics for Smart Transport and Healthcare Systems
SP Ardakani, A Cheshmehzangi - 2023 - Springer
In the information age, big data has become an important tool for us to understand and
improve the world, especially in urban planning and design (Pourroostaei Ardakani and …
improve the world, especially in urban planning and design (Pourroostaei Ardakani and …
Smart City Data Science: Towards data-driven smart cities with open research issues
IH Sarker - Internet of Things, 2022 - Elsevier
Cities are undergoing huge shifts in technology and operations in recent days, and 'data
science'is driving the change in the current age of the Fourth Industrial Revolution (Industry …
science'is driving the change in the current age of the Fourth Industrial Revolution (Industry …
Combining taxi and social media data to explore urban mobility issues
DO Rodrigues, A Boukerche, TH Silva… - Computer …, 2018 - Elsevier
Sensor networks, connected vehicles and mobile devices are currently used as data
collectors in urban environments, data which can be used to better understand the cities' …
collectors in urban environments, data which can be used to better understand the cities' …
Adoption-driven data science for transportation planning: Methodology, case study, and lessons learned
The rising availability of digital traces provides a fertile ground for data-driven solutions to
problems in cities. However, even though a massive data set analyzed with data science …
problems in cities. However, even though a massive data set analyzed with data science …
Implementing big data lake for heterogeneous data sources
Modern connected cities are more and more leveraging advances in ICT to improve their
services and the quality of life of their inhabitants. The data generated from different sources …
services and the quality of life of their inhabitants. The data generated from different sources …
: Mobility-Driven Integration of Heterogeneous Urban Cyber-Physical Systems Under Disruptive Events
With the rapid development of cities, heterogeneous urban cyber-physical systems are
designed to improve citizens' experience, eg, navigation and delivery service. However, the …
designed to improve citizens' experience, eg, navigation and delivery service. However, the …