Providing accurate and real-time bus travel time information is crucial for both passengers
and public transportation managers. However, in the traditional bus travel time prediction …

Dynamic state estimation is of considerable importance to the system monitoring, advanced
control, and energy management of electrified vehicles (EVs). Among the dynamic states of …

The energy consumption characteristics of driving condition is very important for hybrid
electric buses energy management. In this paper, an energy consumption characteristics …

Due to the excellent energy-saving and environmental protection features, electric vehicles
(EVs) are gaining significant market penetration, especially in densely populated urban …

A precise prediction of transportation time is important to help both passengers to plan their
trips and bus operations control to make an effective fleet management. In this study, we …

This paper utilizes a convolutional neural network and long short‐term memory with
attention mechanism (CLA) prediction model for time series forecasting. An innovative …

Accurate estimation of the power consumption of electric vehicles in the future driving route
will help to reduce the user's range anxiety, which results from short all electric range of …

Efforts to transition the heavy-duty vehicle sector from conventional diesel trucks to battery
electric trucks (BETs) have generated vast interest in understanding the energy demand of …

As prediction of trip-based electricity consumption has become an prerequisite for the
deployment of large-scale EB fleets, this study has established random forest-based models …