Proposal of a machine learning approach for traffic flow prediction
M Berlotti, S Di Grande, S Cavalieri - Sensors, 2024 - mdpi.com
Rapid global urbanization has led to a growing urban population, posing challenges in
transportation management. Persistent issues such as traffic congestion, environmental …
transportation management. Persistent issues such as traffic congestion, environmental …
A Novel Data-Envelopment Analysis Interval-Valued Fuzzy-Rough-Number Multi-Criteria Decision-Making (DEA-IFRN MCDM) Model for Determining the Efficiency of …
The capacity of transport infrastructure is one of the very important tasks in transport
engineering, which depends mostly on the geometric characteristics of road and headway …
engineering, which depends mostly on the geometric characteristics of road and headway …
Predictive Analyses of Traffic Level in the City of Barcelona: From ARIMA to eXtreme Gradient Boosting
This study delves into the intricate dynamics of urban mobility, a pivotal aspect for
policymakers, businesses, and communities alike. By deciphering patterns of movement …
policymakers, businesses, and communities alike. By deciphering patterns of movement …
A Framework for Smart City Traffic Management utilizing BDA and IoT
J Nagalapuram, S Samundeeswari - Engineering, Technology & Applied …, 2024 - etasr.com
This paper explores a new approach to traffic flow optimization in smart cities, harnessing
the combined power of Big Data Analytics (BDA) and the Internet of Things (IoT). The system …
the combined power of Big Data Analytics (BDA) and the Internet of Things (IoT). The system …