A novel intelligent traffic recovery model for emergency vehicles based on context-aware reinforcement learning
F Kiani, ÖF Saraç - Information Sciences, 2023 - Elsevier
Management of traffic emergencies has become very popular in recent years. However,
timely response to emergencies and recovering from an emergency is an important problem …
timely response to emergencies and recovering from an emergency is an important problem …
[HTML][HTML] Mountain Logistics: A Systematic Literature Review and Future Research Directions
Background: The sustainable development of mountain areas, which have fragile
ecosystems, has increasingly attracted the attention of researchers and practitioners …
ecosystems, has increasingly attracted the attention of researchers and practitioners …
Decision making framework for autonomous vehicles driving behavior in complex scenarios via hierarchical state machine
X Wang, X Qi, P Wang, J Yang - Autonomous Intelligent Systems, 2021 - Springer
With the development of autonomous car, a vehicle is capable to sense its environment
more precisely. That allows improved drving behavior decision strategy to be used for more …
more precisely. That allows improved drving behavior decision strategy to be used for more …
[HTML][HTML] Technological trends in mountain logistics: A patent analysis
Transportation and logistics in mountain regions are difficult due to the harsh weather
conditions and complex terrain. It is crucial to have specialized expertise and advanced …
conditions and complex terrain. It is crucial to have specialized expertise and advanced …
Refined path planning for emergency rescue vehicles on congested urban arterial roads via reinforcement learning approach
Fast road emergency response can minimize the losses caused by traffic accidents.
However, emergency rescue on urban arterial roads is faced with the high probability of …
However, emergency rescue on urban arterial roads is faced with the high probability of …
Coordinated multi‐agent hierarchical deep reinforcement learning to solve multi‐trip vehicle routing problems with soft time windows
Z Zhang, G Qi, W Guan - IET Intelligent Transport Systems, 2023 - Wiley Online Library
Abstract Vehicle Routing Problem (VRP) is a widespread problem in the transportation field,
which challenges the intelligent level of vehicle decisions. Multi‐Trip Vehicle Routing …
which challenges the intelligent level of vehicle decisions. Multi‐Trip Vehicle Routing …
Learning-based MPC for Autonomous Motion Planning at Freeway Off-ramp Diverging
Off-ramp diverging road segment is the preparation area for vehicles driving away from the
freeway, while it causes more traffic conflicts making it a typical safety bottleneck. Focusing …
freeway, while it causes more traffic conflicts making it a typical safety bottleneck. Focusing …
[HTML][HTML] Multi-Segment Variable Speed Predictive Control Strategy for Eliminating Traffic Bottlenecks in Emergency Cases on Super-Long-Span Bridges
In this paper, we investigate traffic bottlenecks, a primary cause of congestion that
significantly impacts the overall efficiency of traffic networks. To address this challenge, a …
significantly impacts the overall efficiency of traffic networks. To address this challenge, a …
[HTML][HTML] Enhancing Concurrent Emergency Response: Joint Scheduling of Emergency Vehicles on Freeways with Tailored Heuristic
L Li, E Tan, P Gao, Y ** - Applied Sciences, 2024 - mdpi.com
Scheduling decisions for concurrent emergency response (CER) across multiple disaster
sites presents numerous difficulties. The main challenge is to minimize human casualties …
sites presents numerous difficulties. The main challenge is to minimize human casualties …
[Retracted] Automatic Intelligent Control System Based on Intelligent Control Algorithm
Z Huang - Journal of Electrical and Computer Engineering, 2022 - Wiley Online Library
In order to improve the effect of automatic intelligent control, this paper improves the
intelligent vector control algorithm, analyzes the performance of the algorithm with common …
intelligent vector control algorithm, analyzes the performance of the algorithm with common …