Autonomous driving system: A comprehensive survey
Automation is increasingly at the forefront of transportation research, with the potential to
bring fully autonomous vehicles to our roads in the coming years. This comprehensive …
bring fully autonomous vehicles to our roads in the coming years. This comprehensive …
Smart City Charging Station allocation for electric vehicles using analytic hierarchy process and multiobjective goal-programming
In view of recent developments in urban transport systems, there has been a significant
increase in the presence of electric vehicles on the market. One of the major challenges …
increase in the presence of electric vehicles on the market. One of the major challenges …
Real-time fast charging station recommendation for electric vehicles in coupled power-transportation networks: A graph reinforcement learning method
With the increasing penetration rate of electric vehicles, the fast charging demands of
electric vehicles will have a significant influence on the operation of coupled power …
electric vehicles will have a significant influence on the operation of coupled power …
Data-driven distributionally robust electric vehicle balancing for autonomous mobility-on-demand systems under demand and supply uncertainties
Electric vehicles (EVs) are being rapidly adopted due to their economic and societal
benefits. Autonomous mobility-on-demand (AMoD) systems also embrace this trend …
benefits. Autonomous mobility-on-demand (AMoD) systems also embrace this trend …
Deep Transfer Learning for Detecting Electric Vehicles Highly-Correlated Energy Consumption Parameters
Implementation of advanced intelligent deep learning techniques for Electric Vehicles (EVs)
energy consumption analysis is obstructed by two main subjects. First, the problem of finding …
energy consumption analysis is obstructed by two main subjects. First, the problem of finding …
Online Prediction-Assisted Safe Reinforcement Learning for Electric Vehicle Charging Station Recommendation in Dynamically Coupled Transportation-Power …
With the proliferation of electric vehicles (EVs), the transportation network and power grid
become increasingly interdependent and coupled via charging stations. The concomitant …
become increasingly interdependent and coupled via charging stations. The concomitant …
Real-Time Distributed Charging Station Recommendation for Electric Vehicles: A Federated Meta-RL Approach
The growth of Electric Vehicles (EVs) places an increasingly heavy burden on the limited
charging infrastructure, necessitating an effective charging station recommendation strategy …
charging infrastructure, necessitating an effective charging station recommendation strategy …
A Reinforcement Learning-based Multistep Prediction Strategy for Burn-Through Point Using State Feature Extractor
Sintering represents a critical link in the steel production process, with the produced sinter
ore serving as the core raw material for blast furnace ironmaking. Characterized by harsh …
ore serving as the core raw material for blast furnace ironmaking. Characterized by harsh …
Online Spatial-Temporal EV Charging Scheduling with Incentive Promotion
The growing adoption of electric vehicles (EVs) has resulted in an increased demand for
public EV charging infrastructure. Currently, the collaboration between these stations has …
public EV charging infrastructure. Currently, the collaboration between these stations has …
PDQN: User Preference-Based Charging Station Recommendation
With the advent of consumer electronics, Electric Vehicles (EVs) are gradually becoming
representative carriers for the next generation of consumer electronics. EVs are gaining …
representative carriers for the next generation of consumer electronics. EVs are gaining …