A decentralized intersection management system through collaborative negotiation between smart signals

Graves, Russell T.; Nelson, Zachariah E.; Chakraborty, Subhadeep

doi:10.1080/15472450.2021.2016405

A decentralized intersection management system through collaborative negotiation between smart signals

Journal Article · 26 December 2021 · Journal of Intelligent Transportation Systems

DOI:https://doi.org/10.1080/15472450.2021.2016405· OSTI ID:2424754

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Department of Mechanical Engineering, University of Tennessee, Knoxville, TN, USA

Not provided.

Research Organization:: Univ. of Tennessee, Knoxville, TN (United States)

Sponsoring Organization:: USDOE

OSTI ID:: 2424754

Journal Information:: Journal of Intelligent Transportation Systems, Journal Name: Journal of Intelligent Transportation Systems Journal Issue: 2 Vol. 27; ISSN 1547-2450

Publisher:: Taylor & Francis

Country of Publication:: United States

Language:: English

References (31)

Opportunities for multiagent systems and multiagent reinforcement learning in traffic control Bazzan, Ana L. C. Autonomous Agents and Multi-Agent Systems, Vol. 18, Issue 3 https://doi.org/10.1007/s10458-008-9062-9	journal	September 2008
Estimation of Urban Traffic State Using Simulation of Urban Mobility(SUMO) to Optimize Intelligent Transport System in Smart City Dian Khumara, Mega Ayu; Fauziyyah, Lubna; Kristalina, Prima 2018 International Electronics Symposium on Engineering Technology and Applications (IES-ETA) https://doi.org/10.1109/ELECSYM.2018.8615508	conference	October 2018
Intelligent traffic signal control system for ambulance using RFID and cloud Saradha, B. Janani; Vijayshri, G.; Subha, T. 2017 2nd International Conference on Computing and Communications Technologies (ICCCT) https://doi.org/10.1109/ICCCT2.2017.7972255	conference	February 2017
Distributed traffic signal control for maximum network throughput Wongpiromsarn, Tichakorn; Uthaicharoenpong, Tawit; Wang, Yu 2012 15th International IEEE Conference on Intelligent Transportation Systems https://doi.org/10.1109/ITSC.2012.6338817	conference	September 2012
TraCI₄Matlab: Enabling the Integration of the SUMO Road Traffic Simulator and Matlab® Through a Software Re-engineering Process Acosta, Andrés F.; Espinosa, Jorge E.; Espinosa, Jairo Modeling Mobility with Open Data https://doi.org/10.1007/978-3-319-15024-6_9	book	January 2015
An Experimental Review of Reinforcement Learning Algorithms for Adaptive Traffic Signal Control Mannion, Patrick; Duggan, Jim; Howley, Enda Autonomic Road Transport Support Systems https://doi.org/10.1007/978-3-319-25808-9_4	book	May 2016
Urban traffic signal control using reinforcement learning agents Balaji, P. G.; German, X.; Srinivasan, D. IET Intelligent Transport Systems, Vol. 4, Issue 3 https://doi.org/10.1049/iet-its.2009.0096	journal	January 2010
Cooperative Multi-Agent Learning: The State of the Art Panait, Liviu; Luke, Sean Autonomous Agents and Multi-Agent Systems, Vol. 11, Issue 3 https://doi.org/10.1007/s10458-005-2631-2	journal	November 2005
Monitoring travel times in an urban network using video, GPS and Bluetooth Jie, Li; van Zuylen, Henk; Chunhua, Liu Procedia - Social and Behavioral Sciences, Vol. 20 https://doi.org/10.1016/j.sbspro.2011.08.070	journal	January 2011
Computational Intelligence in Urban Traffic Signal Control: A Survey No authors listed IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), Vol. 42, Issue 4 https://doi.org/10.1109/TSMCC.2011.2161577	journal	July 2012
Multiagent Reinforcement Learning for Integrated Network of Adaptive Traffic Signal Controllers (MARLIN-ATSC): Methodology and Large-Scale Application on Downtown Toronto El-Tantawy, Samah; Abdulhai, Baher; Abdelgawad, Hossam IEEE Transactions on Intelligent Transportation Systems, Vol. 14, Issue 3 https://doi.org/10.1109/TITS.2013.2255286	journal	September 2013
Modeling the flow of road traffic with the SUMO simulator Haddouch, Sara; Hachimi, Hanaa; Hmina, Nabil 2018 4th International Conference on Optimization and Applications (ICOA) https://doi.org/10.1109/ICOA.2018.8370580	conference	April 2018
Asynchronous n -step Q-learning adaptive traffic signal control Genders, Wade; Razavi, Saiedeh Journal of Intelligent Transportation Systems, Vol. 23, Issue 4 https://doi.org/10.1080/15472450.2018.1491003	journal	January 2019
Adaptive Group-based Signal Control by Reinforcement Learning Jin, Junchen; Ma, Xiaoliang Transportation Research Procedia, Vol. 10 https://doi.org/10.1016/j.trpro.2015.09.070	journal	January 2015
Traffic signal control using reinforcement learning and the max-plus algorithm as a coordinating strategy Medina, Juan C.; Benekohal, Rahim F. 2012 15th International IEEE Conference on Intelligent Transportation Systems - (ITSC 2012) https://doi.org/10.1109/ITSC.2012.6338911	conference	September 2012
Learning-based traffic signal control algorithms with neighborhood information sharing: An application for sustainable mobility Aziz, H. M. Abdul; Zhu, Feng; Ukkusuri, Satish V. Journal of Intelligent Transportation Systems, Vol. 22, Issue 1 https://doi.org/10.1080/15472450.2017.1387546	journal	April 2017
Luxembourg SUMO Traffic (LuST) Scenario: Traffic Demand Evaluation Codeca, Lara; Frank, Raphael; Faye, Sebastien IEEE Intelligent Transportation Systems Magazine, Vol. 9, Issue 2 https://doi.org/10.1109/MITS.2017.2666585	journal	January 2017
Evaluating reinforcement learning state representations for adaptive traffic signal control Genders, Wade; Razavi, Saiedeh Procedia Computer Science, Vol. 130 https://doi.org/10.1016/j.procs.2018.04.008	journal	January 2018
Automatic code generation from Matlab/Simulink for critical applications Krizan, J.; Ertl, L.; Bradac, M. 2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering (CCECE) https://doi.org/10.1109/CCECE.2014.6901058	conference	May 2014
A group-based traffic signal control with adaptive learning ability Jin, Junchen; Ma, Xiaoliang Engineering Applications of Artificial Intelligence, Vol. 65 https://doi.org/10.1016/j.engappai.2017.07.022	journal	October 2017
Distributed Geometric Fuzzy Multiagent Urban Traffic Signal Control Gokulan, Balaji Parasumanna; Srinivasan, Dipti IEEE Transactions on Intelligent Transportation Systems, Vol. 11, Issue 3 https://doi.org/10.1109/TITS.2010.2050688	journal	September 2010
Decentralized learning for traffic signal control No authors listed 2015 7th International Conference on Communication Systems and Networks (COMSNETS) https://doi.org/10.1109/COMSNETS.2015.7098712	conference	January 2015
A junction-tree based learning algorithm to optimize network wide traffic control: A coordinated multi-agent framework Zhu, Feng; Aziz, H. M. Abdul; Qian, Xinwu Transportation Research Part C: Emerging Technologies, Vol. 58 https://doi.org/10.1016/j.trc.2014.12.009	journal	September 2015
Reinforcement learning-based multi-agent system for network traffic signal control Arel, I.; Liu, C.; Urbanik, T. IET Intelligent Transport Systems, Vol. 4, Issue 2 https://doi.org/10.1049/iet-its.2009.0070	journal	January 2010
Model Learning and Knowledge Sharing for a Multiagent System With Dyna-Q Learning No authors listed IEEE Transactions on Cybernetics, Vol. 45, Issue 5 https://doi.org/10.1109/TCYB.2014.2341582	journal	May 2015
Adaptive multi-objective reinforcement learning with hybrid exploration for traffic signal control based on cooperative multi-agent framework Khamis, Mohamed A.; Gomaa, Walid Engineering Applications of Artificial Intelligence, Vol. 29 https://doi.org/10.1016/j.engappai.2014.01.007	journal	March 2014
The Sydney coordinated adaptive traffic (SCAT) system philosophy and benefits Sims, A. G.; Dobinson, K. W. IEEE Transactions on Vehicular Technology, Vol. 29, Issue 2 https://doi.org/10.1109/T-VT.1980.23833	journal	May 1980
Traffic Signal Light Optimization Control Based on Fuzzy Control and CCD Camera Technology Xing, Shuang-Yun; Lian, Gan-Lin; Yan, Dong-Yu DEStech Transactions on Computer Science and Engineering, Issue cmsms https://doi.org/10.12783/dtcse/cmsms2018/25247	journal	September 2018
Reinforcement Learning: An Introduction Sutton, R. S.; Barto, A. G. IEEE Transactions on Neural Networks, Vol. 9, Issue 5 https://doi.org/10.1109/TNN.1998.712192	journal	September 1998
Microscopic Traffic Simulation using SUMO Lopez, Pablo Alvarez; Wiessner, Evamarie; Behrisch, Michael 2018 21st International Conference on Intelligent Transportation Systems (ITSC) https://doi.org/10.1109/ITSC.2018.8569938	conference	November 2018
A Survey on Reinforcement Learning Models and Algorithms for Traffic Signal Control Yau, Kok-Lim Alvin; Qadir, Junaid; Khoo, Hooi Ling ACM Computing Surveys, Vol. 50, Issue 3 https://doi.org/10.1145/3068287	journal	June 2017

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