Prediction of electric vehicle charging duration time using ensemble machine learning algorithm and Shapley additive explanations

I Ullah, K Liu, T Yamamoto, M Zahid… - International Journal of …, 2022 - Wiley Online Library
Electric vehicles (EVs) are the most important components of smart transportation systems.
Limited driving range, prolonged charging times, and inadequate charging infrastructure are …

[HTML][HTML] Integrated optimization of charger deployment and fleet scheduling for battery electric buses

Y Wang, F Liao, C Lu - Transportation Research Part D: Transport and …, 2022 - Elsevier
Battery electric buses (BEBs) are considered effective options for sustainable mobility. Their
operational efficiency is significantly influenced by the deployment of charging infrastructure …

Analysis of factors influencing energy consumption of electric vehicles: Statistical, predictive, and causal perspectives

H Huang, B Li, Y Wang, Z Zhang, H He - Applied Energy, 2024 - Elsevier
Analyzing the influence of various factors on the energy consumption of Electric Vehicles
(EVs) yields a positive impact on mitigating range anxiety. Nevertheless, prevailing research …

Optimal battery electric bus system planning considering heterogeneous vehicles, opportunity charging, and battery degradation

Y Wang, F Liao, J Bi, C Lu - Renewable Energy, 2024 - Elsevier
Battery electric buses (BEBs) have been seen as a viable alternative for sustainable
mobility. The charger placement and fleet configuration play a crucial role in the operational …

Stacking‐based ensemble learning method for the recognition of the preceding vehicle lane‐changing manoeuvre: A naturalistic driving study on the highway

H Zhang, Y Guo, C Wang, R Fu - IET Intelligent Transport …, 2022 - Wiley Online Library
The recognition of the preceding vehicle lane‐changing manoeuvre (LCM) is essential for
improving the rationality and safety of the decision‐making of driverless vehicles. However …

Lifecycle cost optimization for electric bus systems with different charging methods: Collaborative optimization of infrastructure procurement and fleet scheduling

Y Wang, C Lu, J Bi, Q Sai, X Qu - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Battery electric buses (BEBs) have been regarded as effective options for sustainable
mobility while their promotion is highly affected by the total cost associated with their entire …

[HTML][HTML] Integrated Optimization of Route and Frequency for Rail Transit Feeder Buses under the Influence of Shared Motorcycles

J Cai, Z Li, S Long - Systems, 2024 - mdpi.com
In this paper, we develop a multi-objective integrated optimization method for feeder buses
of rail transit based on realistic considerations. We propose a bus stop selection method that …

Driving range estimation for electric bus based on atomic orbital search and back propagation neural network

H Ke, J Bi, Y Wang, Y Zhang - IET Intelligent Transport Systems, 2024 - Wiley Online Library
As urbanization and transportation demands continue to increase, electric buses play an
important role in sustainable urban development thanks to their advantages of emission …

Data-driven estimation of driving distance for battery electric bus with multisource real-world data

B Hu, Y Wang, Q Sai - Eighth International Conference on …, 2024 - spiedigitallibrary.org
Battery electric buses (BEBs) have been regarded as an environmentally friendly mode of
public transportation to address the congestion and pollution problems. However, due to the …

Lifecycle Cost Optimization for Electric bus Systems with Different Charging Methods: Collaborative Planning of Infrastructure Procurement and Fleet Scheduling

Y Wang, C Lu, J Bi, Q Sai, X Qu - 2022 - ntnuopen.ntnu.no
Battery electric buses (BEBs) have been regarded as effective options for sustainable
mobility while their promotion is highly affected by the total cost associated with their entire …