DEVELOPMENT OF A MACHINE-LEARNING-BASED NOVEL FRAMEWORK FOR TRAVEL TIME DISTRIBUTION DETERMINATION USING PROBE VEHICLE DATA

Investigating travel time variability is critical for pre-trip planning, reliable route selection, traffic management, and the development of control strategies to mitigate traffic congestion problems cost-effectively.Hence, a large number of studies are available in the literature which determine the most suitable distribution to fit the travel ti

The Industrial Internet of Things (IIoT) comprises a variety of systems, smart devices, and an extensive range of communication protocols.Hence, these systems face susceptibility to privacy and security challenges, making them prime targets for malicious attacks that can result in harm to the overall system.Privacy breach issues are a notable conce