Multi-period charging infrastructure planning under uncertainty: Challenges and opportunities
Long-term charging infrastructure planning is imperative to sustain the rapid adoption of
electric vehicles (EVs) in line with climate goals. While the literature on spatial planning of …
electric vehicles (EVs) in line with climate goals. While the literature on spatial planning of …
Socially intelligent reinforcement learning for optimal automated vehicle control in traffic scenarios
H Taghavifar, C Wei… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In this paper, a novel approach is presented for modeling the interaction dynamics between
an ego car and a bicycle in a traffic scenario using a hybrid reinforcement learning …
an ego car and a bicycle in a traffic scenario using a hybrid reinforcement learning …
Driving Segment Embedding and Patterns Dictionary Generation from Real-World Data Using Self-Supervised Learning
The design and testing of autonomous vehicles crucially depend on an understanding of
human driving characteristics due to the coexistence of automated and human-driven …
human driving characteristics due to the coexistence of automated and human-driven …
Autonomous Robot Navigation Based on Depth Deterministic Policy Gradient
D Jiang, P Lyu, Z Duan - Journal of Electrical Systems, 2024 - search.proquest.com
Generally speaking, robot navigation can take the place of people in hazardous work
contexts including military settings and fires. Furthermore, these robots are frequently …
contexts including military settings and fires. Furthermore, these robots are frequently …