Results 31 to 40 of about 149,547 (246)

A review of reinforcement learning applications in adaptive traffic signal control

IET Intelligent Transport Systems, 2022
In urban areas, the problem of recurring daily congestion is constantly increasing. A possible solution is seen in the application of adaptive traffic signal control (ATSC) systems for the control of signalized intersections. While available ATSC systems
Mladen Miletić, Edouard Ivanjko, Martin Gregurić, Krešimir Kušić   +3 more
doaj   +1 more source

Application of Traffic Light Control in Oversaturated Urban Network Using Multi-Agent Deep Reinforcement Learning

IEEE Access
Adaptive traffic signal control techniques have been developed in numerous studies to increase traffic flow efficiency. Using traffic signals to design an adaptive traffic management system is ideal for reducing traffic congestion. Reinforcement learning
Ei Ei Mon, Hideya Ochiai, Chaodit Aswakul   +2 more
doaj   +1 more source

A survey on OFDM-based elastic core optical networking [PDF]

, 2013
Orthogonal frequency-division multiplexing (OFDM) is a modulation technology that has been widely adopted in many new and emerging broadband wireless and wireline communication systems.
De Leenheer, Marc, Morea, A, Mukherjee, B, Zhang, GY   +3 more
core   +2 more sources

Traffic Light Control Using Deep Policy-Gradient and Value-Function Based Reinforcement Learning

, 2017
Recent advances in combining deep neural network architectures with reinforcement learning techniques have shown promising potential results in solving complex control problems with high dimensional state and action spaces.
Howley, Enda, Mousavi, Seyed Sajad, Schukat, Michael   +2 more
core   +1 more source

Adaptive performance optimization for large-scale traffic control systems [PDF]

, 2011
In this paper, we study the problem of optimizing (fine-tuning) the design parameters of large-scale traffic control systems that are composed of distinct and mutually interacting modules.
Aboudolas, K(), Kosmatopoulos Ilias(http://users.isc.tuc.gr/~ikosmatopoulos), Kouvelas Anastasios(http://users.isc.tuc.gr/~akouvelas), Papageorgiou Markos(http://users.isc.tuc.gr/~mpapageorgiou), Κοσματοπουλος Ηλιας(http://users.isc.tuc.gr/~ikosmatopoulos), Κουβελας Αναστασιος(http://users.isc.tuc.gr/~akouvelas), Παπαγεωργιου Μαρκος(http://users.isc.tuc.gr/~mpapageorgiou)   +6 more
core   +2 more sources

Spatiotemporal and quantitative analyses of phosphoinositides – fluorescent probe—and mass spectrometry‐based approaches

FEBS Letters, EarlyView.
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho, Shin Morioka, Junko Sasaki, Takehiko Sasaki   +3 more
wiley   +1 more source

A bi-level model of dynamic traffic signal control with continuum approximation [PDF]

, 2015
This paper proposes a bi-level model for traffic network signal control, which is formulated as a dynamic Stackelberg game and solved as a mathematical program with equilibrium constraints (MPEC).
Friesz, TL, Han, K, Liu, H, Sun, Y, Yao, T   +4 more
core   +1 more source

By dawn or dusk—how circadian timing rewrites bacterial infection outcomes

FEBS Letters, EarlyView.
The circadian clock shapes immune function, yet its influence on infection outcomes is only beginning to be understood. This review highlights how circadian timing alters host responses to the bacterial pathogens Salmonella enterica, Listeria monocytogenes, and Streptococcus pneumoniae revealing that the effectiveness of immune defense depends not only
Devons Mo, Catherine S. Palmer, Jacqueline M. Kimmey   +2 more
wiley   +1 more source

A Review of Research on Coordinated Control of Traffic Signals at Urban Road Intersection Groups

Promet (Zagreb)
Effective traffic signal coordination is essential for urban intersection groups, helping reduce delays and improve throughput efficiency. This paper systematically reviews the progress in intersection group signal coordination control, focusing on four ...
Changxi MA, Yan LIU, Xuecai XU, Hongxing ZHAO   +3 more
doaj   +1 more source

Deep Reinforcement Learning-Based Traffic Signal Control Using High-Resolution Event-Based Data

Entropy, 2019
Reinforcement learning (RL)-based traffic signal control has been proven to have great potential in alleviating traffic congestion. The state definition, which is a key element in RL-based traffic signal control, plays a vital role.
Song Wang, Xu Xie, Kedi Huang, Junjie Zeng, Zimin Cai   +4 more
doaj   +1 more source