Big data processing and analysis in internet of vehicles: architecture, taxonomy, and open research challenges

A Arooj, MS Farooq, A Akram, R Iqbal… - … Methods in Engineering, 2022 - Springer
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 …

A systematic review for smart city data analytics

V Moustaka, A Vakali, LG Anthopoulos - ACM Computing Surveys (cSuR …, 2018 - dl.acm.org
Smart cities (SCs) are becoming highly sophisticated ecosystems at which innovative
solutions and smart services are being deployed. These ecosystems consider SCs as data …

Systematic review of the literature on big data in the transportation domain: Concepts and applications

A Neilson, B Daniel, S Tjandra - Big Data Research, 2019 - Elsevier
Abstract Research in Big Data and analytics offers tremendous opportunities to utilize
evidence in making decisions in many application domains. To what extent can the …

Traffic big data prediction and visualization using fast incremental model trees-drift detection (FIMT-DD)

A Wibisono, W Jatmiko, HA Wisesa, B Hardjono… - Knowledge-Based …, 2016 - Elsevier
Abstract Information extraction using distributed sensors has been widely used to obtain
information knowledge from various regions or areas. Vehicle traffic data extraction is one of …

Concept drift detection for data stream learning based on angle optimized global embedding and principal component analysis in sensor networks

S Liu, L Feng, J Wu, G Hou, G Han - Computers & Electrical Engineering, 2017 - Elsevier
As the significant component in Industrial Internet of Things (IIoT), sensor networks have
been applied widely in many fields. However, concept drift in data stream produced in …

Nonnegative matrix tri-factorization with user similarity for clustering in point-of-interest

L Hu, Y Xing, Y Gong, K Zhao, F Wang - Neurocomputing, 2019 - Elsevier
With the widespread use of Location-based Social Networks (LBSNs), massive Point-of-
Interest (POI) data continuously generated by users. POI clustering is an essential …

Application of Google-based data for travel time analysis: Kaunas city case study

V Dumbliauskas, V Grigonis… - Promet …, 2017 - hrcak.srce.hr
Sažetak Recently, new traffic data sources have emerged raising new challenges and
opportunities when applying novel methodologies. The purpose of this research is to …

An IoT platform for vehicle traffic monitoring system and controlling system based on priority

VS Nagmode, SM Rajbhoj - 2017 International Conference on …, 2017 - ieeexplore.ieee.org
In recent years traffic congestion is a major problem in our country, which affects modern
city's daily life routine and disturb environments. Due to increase population, size of cities …

PCIV, an RFID-based platform for intelligent vehicle monitoring

C Pedraza, F Vega, G Manana - IEEE Intelligent transportation …, 2018 - ieeexplore.ieee.org
This article presents a new platform called PCIV (intelligent platform for vehicular control) for
traffic monitoring, based on radio frequency Identification (RFID) and cloud computing …

Interactive, multiscale urban-traffic pattern exploration leveraging massive GPS trajectories

Q Wang, M Lu, Q Li - Sensors, 2020 - mdpi.com
Urban traffic pattern reflects how people move and how goods are transported, which is
crucial for traffic management and urban planning. With the development of sensing …