Agafonov, Anton A.

2024

• 1 Yumaganov A., Agafonov A., Myasnikov V. Reinforcement learning based adaptive traffic signal control method invariant to the configuration of the traffic lights // 2024 10th International Conference on Information Technology and Nanotechnology, ITNT 2024. — 2024. —
• 2 Agafonov A., Yumaganov A., Myasnikov V. Adaptive Traffic Signal Control by Choosing Phase Duration // 2024 10th International Conference on Information Technology and Nanotechnology, ITNT 2024. — 2024. —

2023

• 1 Agafonov A., Yumaganov A. COOPERATIVE CONTROL OF TRAFFIC SIGNALS AND VEHICLE TRAJECTORIES // Informatics and Automation 2023. — Vol. 22. Issue 1. № 1. — P. 5-32
• 2 Agafonov A., Yumaganov A., Myasnikov V. Efficiency of Adaptive Traffic Signal Control in a Partially Connected Vehicle Environment // 2023 IX International Conference on Information Technology and Nanotechnology (ITNT). — 2023. —
• 3 Agafonov A.A., Yumaganov A., Myasnikov V. Cooperative Control for Signalized Intersections in Intelligent Connected Vehicle Environments // MATHEMATICS 2023. — Vol. 11. Issue 6. № 6.
• 4 Yumaganov A., Agafonov A., Myasnikov V. Cooperative Application of Vehicular Traffic Rerouting Method and Adaptive Traffic Signal Control Method // 2023 IX International Conference on Information Technology and Nanotechnology (ITNT). — 2023. —
• 5 Agafonov A., Efimenko E. Connected Vehicles Travel Time Prediction in a Scenario with Adaptive Traffic Light Control // 2023 IX International Conference on Information Technology and Nanotechnology (ITNT). — 2023. —

2022

• 1 Agafonov A., Yumaganov A., Myasnikov V. An Algorithm for Cooperative Control of Traffic Signals and Vehicle Trajectories // Proceedings - 2022 4th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency, SUMMA 2022. — 2022. — P. 675-680
• 2 Agafonov A.A., Yumaganov A.S., Myasnikov V.V. Adaptive Traffic Signal Control Based on Neural Network Prediction of Weighted Traffic Flow // Optoelectronics, Instrumentation and Data Processing 2022. — Vol. 58. Issue 5. № 5. — P. 503-513
• 3 Agafonov A. Adaptive Traffic Light Control Using a Distributed Processing Approach // 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2022. — 2022. — P. 186-189
• 4 Agafonov A., Yumaganov A., Myasnikov V. Adaptive Traffic Signal Control Based on Maximum Weighted Traffic Flow // 2022 8th International Conference on Information Technology and Nanotechnology, ITNT 2022. — 2022. —
• 5 Agafonov A.A., Myasnikov V.V. Hybrid Prediction-Based Approach for Traffic Signal Control Problem // Optical Memory and Neural Networks (Information Optics) 2022. — Vol. 31. Issue 3. № 3. — P. 277-287
• 6 Agafonov A., Efimenko E.Yu. Comparison of Traffic Signal Control Algorithms in a Large-Scale Traffic Simulation Environment // 2022 8th International Conference on Information Technology and Nanotechnology, ITNT 2022. — 2022. —
• 7 Yumaganov A., Agafonov A. Vehicle Trajectory Planning in the Problem of Traffic Flow Control at Signalized Intersections // 2022 8th International Conference on Information Technology and Nanotechnology, ITNT 2022. — 2022. —

2021

• 1 Agafonov A., Yumaganov A., Myasnikov V. Determining the Optimal Number of Features for User Preference Elicitation in Recommender Systems // Proceedings of ITNT 2021 - 7th IEEE International Conference on Information Technology and Nanotechnology. — 2021. —
• 2 Agafonov A., Yumaganov A. Agent-Based Traffic Signal Control Using a Reinforcement Learning Approach // Proceedings of ITNT 2021 - 7th IEEE International Conference on Information Technology and Nanotechnology. — 2021. —
• 3 Petrenkov D.A., Agafonov A. Anomaly Detection in Vehicle Platoon with Third-Order Consensus Control // Proceedings - 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2021. — 2021. — P. 463-466
• 4 Yumaganov A., Agafonov A., Myasnikov V. An Improved Map Matching Algorithm Based on Dynamic Programming Approach // Lecture Notes in Business Information Processing. — 2021. — Vol. 413 LNBIP. — P. 87-102
• 5 Agafonov A., Myasnikov V. Short-Term Traffic Flow Prediction in a Partially Connected Vehicle Environment // Proceedings - 2021 3rd International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency, SUMMA 2021. — 2021. — P. 968-972
• 6 Agafonov A., Myasnikov V. Traffic Signal Control: A Double Q-learning Approach // Proceedings of the 16th Conference on Computer Science and Intelligence Systems, FedCSIS 2021. — 2021. — P. 365-369
• 7 Kovalev K., Agafonov A. Authentication Scheme in Vehicular Ad Hoc Networks Based on Road Side Unit Infrastructure // Proceedings of ITNT 2021 - 7th IEEE International Conference on Information Technology and Nanotechnology. — 2021. —
• 8 Agafonov A., Myasnikov V. Reconstruction of User Trips on Public Transport Using Indirect Information // Proceedings of ITNT 2021 - 7th IEEE International Conference on Information Technology and Nanotechnology. — 2021. —
• 9 Myasnikov V.V., Agafonov A.A., Yumaganov A.S. A deterministic predictive traffic signal control model in intelligent transportation and geoinformation systems // Computer Optics 2021. — Vol. 45. Issue 6. — P. 917-925
• 10 Agafonov A.A. Short-Term Traffic Data Forecasting: A Deep Learning Approach // Optical Memory and Neural Networks (Information Optics) 2021. — Vol. 30. Issue 1.
• 11 Yumaganov A., Agafonov A. Comparison of Autonomous Driving Approaches // Proceedings of ITNT 2021 - 7th IEEE International Conference on Information Technology and Nanotechnology. — 2021. —

2020

• 1 Yumaganov A., Agafonov A., Myasnikov V. Map Matching Algorithm Based on Dynamic Programming Approach // Proceedings of the 2020 Federated Conference on Computer Science and Information Systems, FedCSIS 2020. — 2020. — P. 563-566
• 2 Agafonov A. Traffic Flow Prediction Using Graph Convolution Neural Networks // 10th International Conference on Information Science and Technology, ICIST 2020. — 2020. — P. 91-95
• 3 Agafonov A., Maksimov A., Borodinov A. A. GPU implementation of the stochastic on-time arrival routing algorithm // CEUR Workshop Proceedings. — 2020. — Vol. 2665. — P. 164-167
• 4 Agafonov A., Yumaganov A. Spatio-Temporal Graph Convolutional Networks for Short-Term Traffic Forecasting // Proceedings of ITNT 2020 - 6th IEEE International Conference on Information Technology and Nanotechnology. — 2020. —
• 5 Borodinov A. A. , Agafonov A., Myasnikov V. A Method of Preference and Utility Elicitation by Pairwise Comparisons and its Application to Intelligent Transportation Recommendation Systems // 10th International Conference on Information Science and Technology, ICIST 2020. — 2020. — P. 77-85
• 6 Agafonov A., Yumaganov A. 3D Objects Detection in an Autonomous Car Driving Problem // Proceedings of ITNT 2020 - 6th IEEE International Conference on Information Technology and Nanotechnology. — 2020. —

2019

• 1 Agafonov A.A., Yumaganov A.S. Performance comparison of machine learning methods in the bus arrival time prediction problem // CEUR Workshop Proceedings. — 2019. — Vol. 2416. — P. 57-62
• 2 Agafonov A.A., Myasnikov V.V. Method for reliable shortest path determination in stochastic networks using parametrically defined stable probability distributions // SPIIRAS Proceedings 2019. — Vol. 18. Issue 3. — P. 557-581
• 3 Borodinov A. A. , Yumaganov A.S., Agafonov A.A. Public transport route planning in the stochastic network based on the user individual preferences // CEUR Workshop Proceedings. — 2019. — Vol. 2391. — P. 66-71
• 4 Agafonov A., Yumaganov A. Bus Arrival Time Prediction with LSTM Neural Network // Lecture Notes in Computer Science. — 2019. — Vol. 11554 LNCS. — P. 11-18
• 5 Agafonov A., Myasnikov V. Stochastic on-time arrival problem with levy stable distributions // 4th International Conference on Intelligent Transportation Engineering, ICITE 2019. — 2019. — P. 227-231
• 6 Agafonov A., Myasnikov V., Borodinov A. A. Anticipatory Vehicle Routing in Stochastic Networks Using Multi-Agent System // Proceedings - 2019 21st International Conference "Complex Systems: Control and Modeling Problems", CSCMP 2019. — 2019. — Vol. 2019-September. — P. 91-95
• 7 Agafonov A.A., Myasnikov V.V., Maksimov A.I. Approximation of the road segments travel time using Levy distributions in the reliable shortest path problem // Journal of Physics: Conference Series. — 2019. — Vol. 1368. Issue 3.
• 8 Agafonov A.A., Yumaganov A.S. Bus Arrival Time Prediction Using Recurrent Neural Network with LSTM Architecture // Optical Memory and Neural Networks (Information Optics) 2019. — Vol. 28. Issue 3. — P. 222-230

2018

• 1 Agafonov A.A., Yumaganov A.S., Myasnikov V.V. Big data analysis in a geoinformatic problem of short-term traffic flow forecasting based on a K nearest neighbors method // Computer Optics 2018. — Vol. 42. Issue 6. — P. 1101-1111
• 2 Agafonov A., Yumaganov A. Short-term traffic flow forecasting using a distributed spatial-temporal k nearest neighbors model // Proceedings - 21st IEEE International Conference on Computational Science and Engineering, CSE 2018. — 2018. — P. 91-98
• 3 Agafonov A., Yumaganov A. Spatial-Temporal K Nearest Neighbors Model on MapReduce for Traffic Flow Prediction // Lecture Notes in Computer Science. — 2018. — Vol. 11314 LNCS. — P. 253-260
• 4 Agafonov A.A., Yumaganov A.S. Short-term traffic flow forecasting using a distributed spatialtemporal model // CEUR Workshop Proceedings. — 2018. — Vol. 2210. — P. 402-409
• 5 Agafonov A.A., Myasnikov V.V. Vehicle routing algorithms based on a route reservation approach // Journal of Physics: Conference Series. — 2018. — Vol. 1096. Issue 1.
• 6 Agafonov A., Borodinov A. A. A Route Reservation Approach for an Autonomous Vehicles Routing Problem // MATEC Web of Conferences. — 2018. — Vol. 220.
• 7 Agafonov A.A. A public transport departure time prediction algorithm based on operation strategies and real-time monitoring data // CEUR Workshop Proceedings. — 2018. — Vol. 2210. — P. 75-81
• 8 Agafonov A.A., Myasnikov V.V. Numerical route reservation method in the geoinformatic task of autonomous vehicle routing // Computer Optics 2018. — Vol. 42. Issue 5. — P. 912-920

2017

• 1 Agafonov A., Myasnikov V. Efficiency comparison of the routing algorithms used in centralized traffic management systems // Procedia Engineering. — 2017. — Vol. 201. — P. 265-270
• 2 Abdulganiev I., Agafonov A. Acceleration of the reliable shortest path algorithm in a time-dependent stochastic transport network // CEUR Workshop Proceedings. — 2017. — Vol. 1901. — P. 1-5

2016

• 1 Agafonov A., Myasnikov V. Structural optimization of the travel time prediction model based on hierarchical regression // CEUR Workshop Proceedings. — 2016. — Vol. 1710. — P. 1-9
• 2 Agafonov A.A., Myasnikov V.V. Method for the reliable shortest path search in time-dependent stochastic networks and its application to GIS-based traffic control // Computer Optics 2016. — Vol. 40. Issue 2. — P. 275-283
• 3 Abdulganiev I., Agafonov A. Automatic checking of road network models // CEUR Workshop Proceedings. — 2016. — Vol. 1638. — P. 249-255
• 4 Agafonov A., Myasnikov V. Reliable routing in stochastic time-dependent network with the use of actual and forecast information of the traffic flows // IEEE Intelligent Vehicles Symposium, Proceedings. — 2016. — Vol. 2016-August. — P. 1168-1172

2015

• 1 Agafonov A., Myasnikov V. Traffic flow forecasting algorithm based on combination of adaptive elementary predictors // Communications in Computer and Information Science. — 2015. — Vol. 542. — P. 163-174
• 2 Agafonov A., Myasnikov V. An Adaptive Algorithm for Public Transport Arrival Time Prediction Based on Hierarhical Regression // IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC. — 2015. — Vol. 2015-October. — P. 2776-2781
• 3 Agafonov A.A., Chernov A.V., Sergeev A.V. Using satellite monitoring and statistical data to predict arrival time of city public transport // Pattern Recognition and Image Analysis 2015. — Vol. 25. Issue 3. — P. 385-388

2014

• 1 Agafonov A.A., Myasnikov V.V. An algorithm for traffic flow parameters estimation and prediction using composition of machine learning methods and time series models // Computer Optics 2014. — Vol. 38. Issue 3. — P. 539-549
• 2 Agafonov A.A., Myasnikov V.V. An algorithm for city transport arrival time estimation using adaptive elementary predictions composition // Computer Optics 2014. — Vol. 38. Issue 2. — P. 356-368

2012

• 1 Agafonov A.A., Sergeev A.V., Chernov A.V. Forecasting of the motion parameters of city transport by satellite monitoring data // Computer Optics 2012. — Vol. 36. Issue 3. — P. 453-458