Výsledky vyhledávání - "adaptive traffic signal control algorithm"

Implementing an adaptive traffic signal control algorithm in an agent-based transport simulation

Autoři: Kühnel, Nico Thunig, Theresa Nagel, Kai

Zdroj: Procedia Computer Science. 130:894-899

Témata: ddc:380, 2. Zero hunger, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, ddc:004, 01 natural sciences

Popis souboru: application/pdf

Přístupová URL adresa: https://mediatum.ub.tum.de/node?id=1440942
https://trid.trb.org/view/1509861
https://www.sciencedirect.com/science/article/pii/S1877050918304484
https://dblp.uni-trier.de/db/conf/ant/ant2018.html#KuhnelTN18
https://depositonce.tu-berlin.de//handle/11303/8549

A Robust Adaptive Traffic Signal Control Algorithm Using Q-Learning under Mixed Traffic Flow

Autoři: Zibin Wei Tao Peng Sijia Wei

Zdroj: Sustainability; Volume 14; Issue 10; Pages: 5751

Témata: traffic control, adaptive traffic signal control, Q-learning, robust analysis, intersections, 0502 economics and business, 05 social sciences, 11. Sustainability

Popis souboru: application/pdf

An Optimal Adaptive Traffic Signal Control Algorithm for Intersections Group

Autoři: Cheng Wei Xiaolan Liu Wenfeng Zhang

Zdroj: 2006 6th World Congress on Intelligent Control and Automation. :8683-8686

Témata: 0502 economics and business, 05 social sciences

Přístupová URL adresa: http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000001713676
https://ieeexplore.ieee.org/document/1713676

A Robust Adaptive Traffic Signal Control Algorithm Using Q-Learning under Mixed Traffic Flow.

Autoři: Wei, Zibin Peng, Tao Wei, Sijia

Zdroj: Sustainability (2071-1050); May2022, Vol. 14 Issue 10, p5751-5751, 16p

An Optimal Adaptive Traffic Signal Control Algorithm for Intersections Group.

Autoři: Wei Cheng Xiaolan Liu Wenfeng Zhang

Zdroj: 2006 6th World Congress on Intelligent Control & Automation; 2006, p8683-8686, 4p

Cooperative Control for Signalized Intersections in Intelligent Connected Vehicle Environments.

Autoři: Agafonov, Anton Yumaganov, Alexander Myasnikov, Vladislav

Zdroj: Mathematics (2227-7390); Mar2023, Vol. 11 Issue 6, p1540, 19p

Témata: SIGNALIZED intersections, TRAVEL time (Traffic engineering), TRAFFIC signs & signals, TRAFFIC engineering, HYBRID electric vehicles, CITY traffic, TRAFFIC flow

HumanLight: Incentivizing Ridesharing via Human-centric Deep Reinforcement Learning in Traffic Signal Control

Autoři: Vlachogiannis, Dimitris M. Wei, Hua Moura, Scott a další

Témata: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Electrical Engineering and Systems Science - Systems and Control, text

URL: http://arxiv.org/abs/2304.03697

Traffic Vision: AI-Powered Traffic Monitoring System and Signal Optimization

Autoři: Prabu M

Zdroj: International Journal for Research in Applied Science and Engineering Technology. 13:2708-2715

AI-Driven Urban Mobility Solutions: Shaping Bucharest as a Smart City.

Autoři: Andrei, Nistor Scarlat, Cezar

Zdroj: Urban Science; Sep2025, Vol. 9 Issue 9, p335, 19p

Témata: URBAN transportation, ADAPTIVE signal processing, TRAFFIC congestion, ARTIFICIAL intelligence, COMPUTER simulation, SMART cities, TRAFFIC engineering, CITIES & towns

Geografický termín: BUCHAREST (Romania), ROMANIA

HumanLight: Incentivizing ridesharing via human-centric deep reinforcement learning in traffic signal control

Autoři: Vlachogiannis, Dimitris M Wei, Hua Moura, Scott a další

Zdroj: Transportation Research Part C Emerging Technologies. 162

Témata: 3509 Transportation, Logistics and Supply Chains (for-2020), 40 Engineering (for-2020), 4005 Civil Engineering (for-2020), 35 Commerce, Management, Tourism and Services (for-2020), 11 Sustainable Cities and Communities (sdg), 7 Affordable and Clean Energy (sdg), Person-based traffic signal control, Decentralized adaptive control, Deep reinforcement learning, Ridesharing, Multimodal traffic environment, 08 Information and Computing Sciences (for), 09 Engineering (for), 15 Commerce, Management, Tourism and Services (for), Logistics & Transportation (science-metrix), 35 Commerce, management, tourism and services (for-2020), 40 Engineering (for-2020)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/4jh8x87v
https://escholarship.org/content/qt4jh8x87v/qt4jh8x87v.pdf

An improved robust algorithms for fisher discriminant model with high dimensional data.

Autoři: Ma, Shaojuan Duan, Yubing

Zdroj: PLoS ONE; 6/12/2025, Vol. 20 Issue 6, p1-17, 17p

Témata: STATISTICS, DATA analysis, HYGIENE, ALGORITHMS

An Adaptive Signal Control Model for Intersection Based on Deep Reinforcement Learning Considering Carbon Emissions.

Autoři: Duan, Lin Zhao, Hongxing

Zdroj: Electronics (2079-9292); Apr2025, Vol. 14 Issue 8, p1664, 14p

Témata: DEEP reinforcement learning, MACHINE learning, ADAPTIVE control systems, TRAFFIC signs & signals, TRAFFIC engineering, TRAFFIC signal control systems

CAV-generated mobility data modeling mechanism for adaptive signal control.

Autoři: Wei Lin Heng Wei Lan Yang a další

Zdroj: Journal of Traffic & Transportation Engineering (English Edition); Apr2025, Vol. 12 Issue 2, p361-377, 17p

Témata: TRAFFIC signal control systems, TRAFFIC signs & signals, ADAPTIVE control systems, TRAFFIC engineering, MULTISENSOR data fusion

Traffic network micro‐simulation model and control algorithm based on approximate dynamic programming.

Autoři: Yin, Biao Dridi, Mahjoub El Moudni, Abdellah

Zdroj: IET Intelligent Transport Systems (Wiley-Blackwell); Apr2016, Vol. 10 Issue 3, p186-196, 11p

Témata: TRAFFIC signs & signals, INTELLIGENT transportation systems, TRAFFIC engineering, ARTIFICIAL intelligence, CELLULAR automata

Pri-DDQN: learning adaptive traffic signal control strategy through a hybrid agent.

Autoři: Zheng, Yanliu Luo, Juan Gao, Han a další

Zdroj: Complex & Intelligent Systems; Jan2025, Vol. 11 Issue 1, p1-14, 14p

Adaptive Traffic Signal Control Based on Graph Neural Networks and Dynamic Entropy-Constrained Soft Actor–Critic.

Autoři: Jia, Xianguang Guo, Mengyi Lyu, Yingying a další

Zdroj: Electronics (2079-9292); Dec2024, Vol. 13 Issue 23, p4794, 27p

Témata: REINFORCEMENT learning, DEEP reinforcement learning, GRAPH neural networks, TRAFFIC signs & signals, TRAFFIC engineering

RETRACTED: Data-driven traffic signal adaptive control algorithm integrating vehicle perception and traffic flow data.

Autoři: Wei, Jingya Ju, Yongfeng

Zdroj: Journal of Intelligent & Fuzzy Systems; 2024Supplement, Vol. 47, p1027-1039, 13p

Témata: RETRACTION of scholarly articles, ADAPTIVE control systems, TRAFFIC flow, TRAFFIC signal control systems, ALGORITHMS

RISKS REDUCING THROUGH INTELLIGENT HEADLIGHT MANAGEMENT: OPTIMIZING Q-LEARNING FOR ELECTRIC VEHICLES.

Autoři: Jamjuntr, Pitchaya Techawatcharapaikul, Chanchai Suanpang, Pannee

Zdroj: Operational Research in Engineering Sciences: Theory & Applications (ORESTA); 2024, Vol. 7 Issue 3, p86-123, 38p

Témata: DELIVERY of goods, ELECTRIC vehicles, REINFORCEMENT learning, ENERGY consumption, TRAFFIC safety, AUTOMOBILE lighting, MATHEMATICAL optimization

Traffic Signal Control in Congested Urban Networks: Simulation-based Optimization Approach

Autoři: Chen, Xiao

Témata: Signal control, Reliability, Little’s law, Adaptive traffic signal control

Dostupnost: https://hdl.handle.net/10316/27072

A Comparative Study of Traffic Signal Control Based on Reinforcement Learning Algorithms.

Autoři: Ouyang, Chen Zhan, Zhenfei Lv, Fengyao

Zdroj: World Electric Vehicle Journal; Jun2024, Vol. 15 Issue 6, p246, 14p

Témata: MACHINE learning, TRAFFIC signs & signals, TRAFFIC engineering, REINFORCEMENT learning, CITY traffic, OCCUPANCY rates