Accurately and efficiently predicting the fuel consumption of vehicles is the key to improving
their fuel economy. This paper provides a comprehensive review of data-driven fuel …

Definition Predictive modeling is a complex methodology that involves leveraging advanced
mathematical and computational techniques to forecast future occurrences or outcomes …

The transportation sector is one of the primary sources of air pollutants in megacities. Strict
regulations of newly added vehicles to the local market require precise prediction models of …

The transportation industry is undergoing a major shift towards electrification to mitigate
carbon emissions and decrease reliance on fossil fuels in response to global climate …

Despite the significant impact of driver behavior on fuel consumption and carbon dioxide
equivalent (CO2e) emissions, this phenomenon is often overlooked in road freight …

Several dynamic projects and fault diagnosis of mechanical structures require the
knowledge of the acting external forces. However, the measurement of such forces is often …

With the increasing emphasis on sustainable transportation solutions, there is an urgent
need for a system that can accurately assess vehicle-specific energy consumption in real …

The transportation sector is one of the primary sources of air pollutants in megacities. Strict
regulations of newly added vehicles to the local market require precise prediction models of …

Effective identification driving styles of drivers for vehicle speed planning can improve
vehicle fuel economy, driving adaptability and comfortability. First, based on historical …

Several dynamic projects and fault diagnosis of mechanical structures require the
knowledge of the acting external forces. However, the measurement of such forces is often …