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Evolutionary design optimization of traffic signals applied to Quito city

Rolando Armas, Hernán Aguirre, Fabio Daolio, Kiyoshi Tanaka, Yong Deng
2017 PLoS ONE  
An analysis of signal clusters and their geolocation, estimation of fuel consumption, spatial analysis of emissions, and an analysis of signal coordination provide an overall picture of the systemic effects  ...  It couples an evolutionary algorithm with a microscopic transport simulator and uses the outcome of the optimization process to deepen our understanding of the problem and gain knowledge about the system  ...  Acknowledgments Rolando Armas gratefully acknowledges the support of National Secretariat of Higher Education, Science, Technology and Innovation of Ecuador.  ... 
doi:10.1371/journal.pone.0188757 pmid:29236733 pmcid:PMC5728506 fatcat:wiipnnbdsjctpg5w64nrvy3sjy

Intersection Traffic Control Based on Multi-objective Optimization

Jinbao Mou
2020 IEEE Access  
The comparison fully proves the advantages of our model and algorithm. INDEX TERMS Traffic control, multi-objective optimization, dragonfly algorithm (DA), signal timing, intersection.  ...  Currently, most traffic control methods at intersections rely on the control of signal lights.  ...  With the aid of the GA, Nguyen et al. optimized the rules of the fuzzy controller of traffic signals at intersections, and achieved the optimal signal timing [19] , [20] .  ... 
doi:10.1109/access.2020.2983422 fatcat:o7mcqteq2ragxhhnkbay2wy334


Yee Shin Chia, Zhan Wei Siew, Hoe Tung Yew, Soo Siang Yang, Kenneth Tze Kin Teo
2012 ICTACT Journal on Communication Technology  
The MATLAB simulation on a 49-cells network model for both uniform and nonuniform call traffic distributions showed that the proposed channel optimization method can always achieve a lower average new  ...  In this paper, an adaptive genetic algorithm (GA) based channel assignment strategy is introduced for resource management and to reduce the effect of EMC interferences.  ...  SA is a meta-heuristic method derived from statistical mechanics which perform using the neighborhood principle and measures potential based on cost function.  ... 
doi:10.21917/ijct.2012.0087 fatcat:wjyabgfwordabd4weok2zmv2ma

Improving anytime behavior for traffic signal control optimization based on NSGA-II and local search

Phuong Thi Mai Nguyen, Benjamin N. Passow, Yingjie Yang
2016 2016 International Joint Conference on Neural Networks (IJCNN)  
To evaluate the validity of the proposed algorithm, the NSGA-II-LS, NSGA-II and MODEA are used to optimize signal durations of an intersection in Andrea Costa scenario.  ...  Results of the experiment show that the optimization method proposed in this study has good anytime behaviour in the traffic signal timings optimization problem.  ...  Traffic characteristics achieved from traffic models are used to generate a near-optimal set of signal timing plans via the optimization algorithms.  ... 
doi:10.1109/ijcnn.2016.7727804 dblp:conf/ijcnn/NguyenPY16 fatcat:p4zxrqtbgbfvdas5xkl66es22y

Developing Combined Genetic Algorithm—Hill-Climbing Optimization Method for Area Traffic Control

Halim Ceylan
2006 Journal of transportation engineering  
or near optimal signal timings for area traffic control (ATC).  ...  Results showed that the GATHIC is better in signal timing optimization in terms of optimal values of timings and performance index when it is compared with TRANSYT, but it is computationally demanding  ...  "Traffic signals: capacity and timing analysis." Australian Road Research Board, ARR 123. Vermonth South, Victoria, Australia.  ... 
doi:10.1061/(asce)0733-947x(2006)132:8(663) fatcat:srtaf5oainewhpgdbj6afuc5qq

Cooperative, hybrid agent architecture for real-time traffic signal control

Min Chee Choy, D. Srinivasan, Ruey Long Cheu
2003 IEEE transactions on systems, man and cybernetics. Part A. Systems and humans  
The performance of the proposed multiagent architecture is evaluated against the set of signal plans used by the current real-time adaptive traffic control system.  ...  The large-scale traffic signal control problem is divided into various subproblems, and each subproblem is handled by an intelligent agent with fuzzy neural decision-making module.  ...  ACKNOWLEDGMENT The authors would like to thank the Land Transportation Authority of Singapore (LTA) for providing data necessary for the simulation modeling and F. Logi for his advice.  ... 
doi:10.1109/tsmca.2003.817394 fatcat:i7zeyho2gncrfddt5i534uheke

Channel allocation in wireless data center networks

Yong Cui, Hongyi Wang, Xiuzhen Cheng
2011 2011 Proceedings IEEE INFOCOM  
Based on this model, we formulate the channel allocation in wireless DCNs as an optimization problem and design a genetic algorithm (GA) based approach to address it.  ...  Unbalanced traffic demands of different data center applications are an important issue in designing Data center networks (DCNs).  ...  This is caused by the local optimal property of the mutation. In mutation, we traverse a small neighborhood to find a better scheme.  ... 
doi:10.1109/infcom.2011.5934925 dblp:conf/infocom/CuiWC11 fatcat:t6hb3oflevdt5fexa6yn7ujtyy

Metaheuristics for Traffic Control and Optimization: Current Challenges and Prospects [chapter]

Arshad Jamal, Hassan M. Al-Ahmadi, Farhan Muhammad Butt, Mudassir Iqbal, Meshal Almoshaogeh, Sajid Ali
2021 Search Algorithm - Essence of Optimization [Working Title]  
The surveyed literature is classified according to the nature of the metaheuristic used, considered optimization objectives, and signal control parameters.  ...  Intelligent traffic control at signalized intersections in urban areas is vital for mitigating congestion and ensuring sustainable traffic operations.  ...  Acknowledgements The authors acknowledge the support of the King Fahd University of Petroleum and Minerals, KFUPM, Dhahran Saudi Arabia, and Qassim University, Burudah, Saudi Arabia, for Supporting this  ... 
doi:10.5772/intechopen.99395 fatcat:wc64eno4yffw3nikyznynw77b4

A Distributed Approach for Coordination of Traffic Signal Agents

Ana L. C. Bazzan
2005 Autonomous Agents and Multi-Agent Systems  
Keywords: coordination of agents, evolutionary game-theory, learning in multi-agent systems, traffic signal control. and maintain increases with the number of traffic elements (traffic lights, detectors  ...  Some application in traffic scenarios are discussed in order to evaluate the feasibility of transferring the responsibility of traffic signal coordination to agents.  ...  The most popular solution so far employed uses linear programming (e.g., [32] ). Using these methods one can find the optimal cycle time and optimal speed.  ... 
doi:10.1007/s10458-004-6975-9 fatcat:3v7y5iestragfb7bwoqjhd3v2y

Variable Neighborhood Multiobjective Genetic Algorithm for the Optimization of Routes on IP Networks [chapter]

Renata E. Onety, Gladston J. P. Moreira, Oriane M. Neto, Ricardo H. C. Takahashi
2011 Lecture Notes in Computer Science  
Chapter Optimization and Algorithms Techniques of Traffic Engineering may use routing protocols in conjunction with optimization methods.  ...  Traffic Engineering and Quality of Service on IP Networks . Traffic Engineering and Quality of Service on IP Networks . Optimization and Algorithms . Optimization and Algorithms .  ...  The proposed optimization model relies on the definition of specific Genetic Algorithms operators and the study of different alternatives for the choice of routes on IP networks.  ... 
doi:10.1007/978-3-642-19893-9_30 fatcat:edny4dmebnbcpotc7menorpyrq

A Perimeter Control Strategy for Oversaturated Network Preventing Queue Spillback

Yishun Li, Jianmin Xu, Lvou Shen
2012 Procedia - Social and Behavioral Sciences  
Lane-group-based method is used to model the traffic dynamics along arterials. Furthermore, the phase sequence and offset are optimized using an imbedded Genetic Algorithm.  ...  The signal timing outputs of this strategy are then implemented in TRANSYT-7F, and the results are compared with the outputs optimized through the TRANSYT-7F itself optimization process, which shows that  ...  Recently Abu-Lebdeh and Benekohal (1997) presented an algorithm for queue management and coordination of traffic signals along oversaturated arterials in primary direction.  ... 
doi:10.1016/j.sbspro.2012.04.115 fatcat:7kkpj5fy75gftfplh4fcw7flwy

Expert Competitive Traffic Light Optimization with Evolutionary Algorithms

Yann Semet, Benoit Berthelot, Thierry Glais, Christian Isbérie, Aurélien Varest
2019 Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems  
We present a complete system to optimize traffic lights green phases and temporal offsets based on a combination of microscopic simulation and black box, evolutionary algorithms.  ...  programs, genetic multi-objective optimization capabilities and sound metrics.  ...  ACKNOWLEDGEMENTS The authors would like to thank the LaSDIM project and BPIFrance for funding part of this work under the 20th FUI call. The authors would also like to thank  ... 
doi:10.5220/0007732701990210 dblp:conf/vehits/SemetBGIV19 fatcat:epr7lyms25hizpeenf4zh7fu4i

An image denoising method based on BP neural network optimized by improved whale optimization algorithm

Chunzhi Wang, Min Li, Ruoxi Wang, Han Yu, Shuping Wang
2021 EURASIP Journal on Wireless Communications and Networking  
Finally, the optimized BP neural network is applied to benchmark image denoising and traffic image denoising.  ...  Then, the improved whale optimization algorithm is used to optimize the initial weight and threshold value of BP neural network to overcome the dependence in the construction process, and shorten the training  ...  Through monitoring, traffic flow distribution optimization and other technologies, the traffic information network system is improved and unified intelligent urban traffic integrated management and service  ... 
doi:10.1186/s13638-021-02013-2 fatcat:jqdimtmhzfhbnkszokp2a5osxq

Self-Organization in Traffic Lights: Evolution of Signal Control with Advances in Sensors and Communications [article]

Sanjay Goel, Stephen F. Bush, Carlos Gershenson
2017 arXiv   pre-print
of traffic flow is required to optimize traffic.  ...  This survey of autonomous and self-organized traffic signaling control has been undertaken with these potential developments in mind.  ...  cycle across two adjacent intersections typically used to coordinate traffic flow across multiple signals. 4 We use the optimized as a measure of improvement of the fitness function.  ... 
arXiv:1708.07188v1 fatcat:nojqrol46ndull6hoaoq7blu2m

Memetic Chains for Improving the Local Wireless Sensor Networks Localization in Urban Scenarios

Paula Verde, Javier Díez-González, Rubén Ferrero-Guillén, Alberto Martínez-Gutiérrez, Hilde Perez
2021 Sensors  
Our proposed algorithm MA-Variable Neighborhood Descent-Chains (MA-VND-Chains) outperforms the GA and the MA of previous proposals for the NLP, improving the accuracy achieved by 17% and by 10% respectively  ...  The Time Difference of Arrival (TDOA) is extended in the literature for LPS applications and consequently we perform, in this paper, an analysis of the optimal sensor deployment of this architecture for  ...  A-TDOA systems make use of the receive and retransmit strategy of the positioning signal in the target sensor of the signals emitted in the worker sensors of the architecture to a coordinator sensor in  ... 
doi:10.3390/s21072458 pmid:33918199 fatcat:qeqjwq5x3fg47f6rivqg2l2c4y
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