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 …

[HTML][HTML] Mountain Logistics: A Systematic Literature Review and Future Research Directions

MB Teshome, F Rasool, G Orzes - Logistics, 2024 - mdpi.com
Background: The sustainable development of mountain areas, which have fragile
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 …

[HTML][HTML] Technological trends in mountain logistics: A patent analysis

MB Teshome, M Podrecca, G Orzes - Research in Transportation Business …, 2024 - Elsevier
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 …

Refined path planning for emergency rescue vehicles on congested urban arterial roads via reinforcement learning approach

L Yan, P Wang, J Yang, Y Hu, Y Han… - Journal of Advanced …, 2021 - Wiley Online Library
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 …

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 …

Learning-based MPC for Autonomous Motion Planning at Freeway Off-ramp Diverging

X Qi, L Zhang, P Wang, J Yang, T Zou… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
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 …

[HTML][HTML] Multi-Segment Variable Speed Predictive Control Strategy for Eliminating Traffic Bottlenecks in Emergency Cases on Super-Long-Span Bridges

J Yang, P Wang - Applied Sciences, 2024 - mdpi.com
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 …

[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 …

[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 …