Big Data for transportation and mobility: recent advances, trends and challenges

AI Torre‐Bastida, J Del Ser, I Laña… - IET Intelligent …, 2018 - Wiley Online Library
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 …

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 …

Big Data and Deep Learning in Smart Cities: A Comprehensive Dataset for AI-Driven Traffic Accident Detection and Computer Vision Systems

V Adewopo, N Elsayed, Z Elsayed, M Ozer… - SoutheastCon …, 2024 - ieeexplore.ieee.org
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 …

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 …

[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 …

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 …

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' …

Adoption-driven data science for transportation planning: Methodology, case study, and lessons learned

E Graells-Garrido, V Peña-Araya, L Bravo - Sustainability, 2020 - mdpi.com
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 …

Implementing big data lake for heterogeneous data sources

H Mehmood, E Gilman, M Cortes… - 2019 ieee 35th …, 2019 - ieeexplore.ieee.org
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 …

: Mobility-Driven Integration of Heterogeneous Urban Cyber-Physical Systems Under Disruptive Events

Y Yuan, D Zhang, F Miao, JA Stankovic… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
With the rapid development of cities, heterogeneous urban cyber-physical systems are
designed to improve citizens' experience, eg, navigation and delivery service. However, the …