Results 211 to 220 of about 9,487,550 (311)

Queuing Theory and its Application to the Optimum Number of ATM Machines Needed to Reduce Waiting Time of Customers in the Queue

Leo Tanyam Encho, Abraham Okolo, Albert Samà, O. C. Asogwa   +3 more
openalex   +1 more source

An integrated framework for multiple traffic anomalies detection on highways using vehicle trajectories

Computer-Aided Civil and Infrastructure Engineering, EarlyView.
Abstract Fast and accurate identification of traffic anomalies on highways is of utmost importance. This study presents an integrated framework for multiple traffic anomaly detection on highways using vehicle trajectories. The framework addresses both macroscopic congestion patterns and microscopic driving behaviors, offering a comprehensive solution ...
Zhiyuan Liu, Anfeng Jiang, Zhirui Wang, Zhen Zhou, Lue Fang, Qixiu Cheng, Ziyuan Gu   +6 more
wiley   +1 more source

Learning error distribution kernel‐enhanced neural network methodology for multi‐intersection signal control optimization

Computer-Aided Civil and Infrastructure Engineering, EarlyView.
Abstract Traffic congestion has substantially induced significant mobility and energy inefficiency. Many research challenges are identified in traffic signal control and management associated with artificial intelligence (AI)‐based models. For example, developing AI‐driven dynamic traffic system models that accurately capture high‐resolution traffic ...
H. Wang, Y. Wang, W. Li, A. B. Subramaniyan, G. Zhang   +4 more
wiley   +1 more source

A Particle Swarm Optimization-Based Queue Scheduling and Optimization Mechanism for Large-Scale Low-Earth-Orbit Satellite Communication Networks. [PDF]

Sensors (Basel)
Zhang Z, Dong T, Yin J, Xu Y, Luo Z, Jiang H, Wu J.   +6 more
europepmc   +1 more source

A distributed model predictive approach for network traffic signal control using multi‐objective dynamic programming

Computer-Aided Civil and Infrastructure Engineering, EarlyView.
Abstract Real‐time traffic signal control (TSC) in road networks remains challenging due to variable traffic flows and high computational complexity. Existing model predictive control (MPC) approaches often face several limitations, including the reliance on commercial solvers, the inflexibility of single‐objective optimization, and the use of ...
Lyuzhou Luo, Chaopeng Tan, Keshuang Tang, Hong Zhu   +3 more
wiley   +1 more source

Adaptive Cell Scheduling and Negotiation Techniques for 6TiSCH Networks Under Bursty Traffic. [PDF]

Sensors (Basel)
Lee JH, Chung SH.
europepmc   +1 more source

The SprayList: a scalable relaxed priority queue

ACM SIGPLAN Symposium on Principles & Practice of Parallel Programming, 2015
Dan Alistarh, Justin Kopinsky, Jerry Li, N. Shavit   +3 more
semanticscholar   +1 more source

Explainable reinforcement learning for improved traffic signal control

Computer-Aided Civil and Infrastructure Engineering, EarlyView.
Abstract Reinforcement learning has become a popular approach for traffic signal control, but its complexity often hinders practical application. To improve this, we propose a deep Q‐network framework with an attention mechanism inspired by how traffic police manage intersections.
Yuan Hu, Longfei Du, Said M. Easa
wiley   +1 more source

ADPO: Adaptive DRAM Controller for Performance Optimization. [PDF]

Micromachines (Basel)
Liu Z, Li Y, Zeng X.
europepmc   +1 more source

Semi‐Automated Detection of Right Whales (Eubalaena spp.) in Very High‐Resolution Satellite Imagery

Marine Mammal Science, EarlyView.
ABSTRACT Space‐based detection of whales is proliferating because it shows promise as a monitoring tool, yet tests of its application across taxa and environments are rare. The objective of this study was to develop an end‐to‐end, semi‐automated procedure for detecting two right whale species (Eubalaena glacialis and E. australis) in satellite imagery.
Kimberley T. A. Davies, Anne Webster, Vinoth Babu, Sean W. Brillant, Cody G. Carlyle, Gina L. Lonati, Harsh Sharma, Olivier W. Tsui   +7 more
wiley   +1 more source