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Publications in Math-Net.Ru |
Citations |
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2024 |
| 1. |
A. S. Yumaganov, A. A. Agafonov, V. V. Myasnikov, “Reinforcement learning-based adaptive traffic signal control invariant to traffic signal configuration”, Computer Research and Modeling, 16:5 (2024), 1253–1269  |
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2023 |
| 2. |
A. A. Agafonov, A. S. Yumaganov, “Cooperative control of traffic signals and vehicle trajectories”, Informatics and Automation, 22:1 (2023), 5–32  |
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2021 |
| 3. |
V. V. Myasnikov, A. A. Agafonov, A. S. Yumaganov, “A deterministic predictive traffic signal control model in intelligent transportation and geoinformation systems”, Computer Optics, 45:6 (2021), 917–925 |
10
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2019 |
| 4. |
A. A. Agafonov, V. V. Myasnikov, “Method for reliable shortest path determination in stochastic networks using parametrically defined stable probability distributions”, Tr. SPIIRAN, 18:3 (2019), 558–582  |
1
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2018 |
| 5. |
A. A. Agafonov, A. S. Yumaganov, V. V. Myasnikov, “Big data analysis in a geoinformatic problem of short-term traffic flow forecasting based on a k nearest neighbors method”, Computer Optics, 42:6 (2018), 1101–1111 |
29
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| 6. |
A. A. Agafonov, V. V. Myasnikov, “Numerical route reservation method in the geoinformatic task of autonomous vehicle routing”, Computer Optics, 42:5 (2018), 912–920 |
15
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2016 |
| 7. |
A. A. Agafonov, V. V. Myasnikov, “Method for the reliable shortest path search in time-dependent stochastic networks and its application to GIS-based traffic control”, Computer Optics, 40:2 (2016), 275–283 |
21
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2014 |
| 8. |
A. A. Agafonov, V. V. Myasnikov, “An algorithm for traffic flow parameters estimation and prediction using composition of machine learning methods and time series models”, Computer Optics, 38:3 (2014), 539–549 |
| 9. |
A. A. Agafonov, V. V. Myasnikov, “An algorithm for city transport arrival time estimation using adaptive elementary predictions composition”, Computer Optics, 38:2 (2014), 356–368 |
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