Traffic signal optimization through discrete and continuous reinforcement learning with robustness analysis in downtown Tehran-Reference-Cited by-同舟云学术

Traffic signal optimization through discrete and continuous reinforcement learning with robustness analysis in downtown Tehran

Published:2018-10 Issue: Volume:38 Page:639-655
ISSN:1474-0346
Container-title:Advanced Engineering Informatics
language:en
Short-container-title:Advanced Engineering Informatics

Author:

Aslani Mohammad,Seipel Stefan^ORCID,Mesgari Mohammad Saadi,Wiering Marco

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems

Reference86 articles.

1. Optimizing traffic control to reduce fuel consumption and vehicular emissions: integrated approach with VISSIM, CMEM, and VISGAOST;Stevanovic;Transp. Res. Rec.: J. Transp. Res. Board,2009

2. Adaptive multi-objective reinforcement learning with hybrid exploration for traffic signal control based on cooperative multi-agent framework;Khamis;Eng. Appl. Artif. Intell.,2014

3. S.F. Smith, G.J. Barlow, X.-F. Xie, Z.B. Rubinstein, Smart urban signal networks: initial application of the SURTRAC adaptive traffic signal control system, in: Proceedings of the Twenty-Third International Conference on Automated Planning and Scheduling, AAAI Press, 2013, pp. 434–442.

4. Influence of meta-heuristic optimization on the performance of adaptive interval type2-fuzzy traffic signal controllers;Araghi;Expert Syst. Appl.,2017

5. Development of a fuzzy logic traffic system for isolated signalized intersections in the state of Kuwait;Zaied;Expert Syst. Appl.,2011

Cited by 36 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Reinforcement Learning Technique for Traffic Metering in Connected Urban Street Networks;Transportation Research Record: Journal of the Transportation Research Board;2024-06-19

2. Reinforcement Learning for Traffic Signal Control in Hybrid Action Space;IEEE Transactions on Intelligent Transportation Systems;2024-06

3. F rugal L ight : Symmetry-Aware Cyclic Heterogeneous Intersection Control using Deep Reinforcement Learning with Model Compression, Distillation and Domain Knowledge;ACM Journal on Computing and Sustainable Societies;2024-05-13

4. Intersection optimisation study based on traffic conditions in the physical area;Proceedings of the Institution of Civil Engineers - Transport;2024-03-26

5. Data-driven Optimal Traffic Signal Control with Phase Priority and Switching Cost;2024 12th International Conference on Intelligent Control and Information Processing (ICICIP);2024-03-08