A Comparative Study of Recent Advances in Big Data Analytics in Vehicular Ad Hoc Networks
Author:
Affiliation:
1. Doctoral School of Science and Technology, Lebanese University,MERCEL Lab,Beirut,Lebanon
2. IRIMAS, Université de Haute Alsace,Mulhouse,France
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9823957/9824097/09825248.pdf?arnumber=9825248
Reference19 articles.
1. Dynamic Clustering Mechanism to Avoid Congestion Control in Vehicular Ad Hoc Networks Based on Node Density
2. An IoT Cloud System for Traffic Monitoring and Vehicular Accidents Prevention Based on Mobile Sensor Data Processing
3. SDN-based real-time urban traffic analysis in VANET environment
4. Road Network Resilience: How to Identify Critical Links Subject to Day-to-Day Disruptions
5. Spatio-temporal Correlations of Betweenness Centrality and Traffic Metrics
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1. Hyper-Flophet: A neural Prophet-based model for traffic flow forecasting in transportation systems;Simulation Modelling Practice and Theory;2024-07
2. Octa Pillars-based Approach to Select the Best Blockchain-based Solutions in Healthcare Information Exchange;2023 International Wireless Communications and Mobile Computing (IWCMC);2023-06-19
3. The Intelligent Mechanism for Data Collection and Data Mining in the Vehicular Ad-Hoc Networks (VANETs) Based on Big-Data-Driven;2023 5th Global Power, Energy and Communication Conference (GPECOM);2023-06-14
4. Flophet: A Novel Prophet-Based Model for Traffic Flow Prediction in Vehicular Ad Hoc Networks;ICC 2023 - IEEE International Conference on Communications;2023-05-28
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