id int64 18 21.1k | created_at timestamp[ns, tz=UTC]date 2026-02-23 07:30:20 2026-02-24 16:54:39 | updated_at timestamp[ns, tz=UTC]date 2026-02-23 08:08:14 2026-02-24 16:54:39 | doc_name stringclasses 1
value | input stringlengths 11 9.24k | output stringlengths 0 738 | is_personal bool 2
classes | is_sentence bool 2
classes | is_corrected bool 2
classes |
|---|---|---|---|---|---|---|---|---|
18,107 | 2026-02-24T14:20:17.311000Z | 2026-02-24T14:20:17.312000Z | Lec. | Wang Z. et al | false | false | false | |
18,106 | 2026-02-24T14:20:14.802000Z | 2026-02-24T14:20:14.802000Z | Lec. | Cooperative intersection management: A survey //IEEE transactions on intelligent transportation systems. – 2015. – Т. 17. – №. 2. – С. 570-586. 39 | false | true | false | |
18,105 | 2026-02-24T14:20:11.612000Z | 2026-02-24T14:20:11.612000Z | Lec. | Chen L., Englund C | true | false | false | |
18,104 | 2026-02-24T14:20:08.635000Z | 2026-02-24T14:20:08.635000Z | Lec. | A review of connected and automated vehicle platoon merging and splitting operations //IEEE Transactions on Intelligent Transportation Systems. – 2022. – Т. 23. – №. 12. – С. 22790-22806. 38 | false | false | false | |
18,103 | 2026-02-24T14:20:05.582000Z | 2026-02-24T14:20:05.582000Z | Lec. | Li Q., Chen Z., Li X | false | false | false | |
18,102 | 2026-02-24T14:20:02.889000Z | 2026-02-24T14:20:02.889000Z | Lec. | Cooperative adaptive cruise control using vehicle-to-vehicle communication and deep learning //2022 IEEE intelligent vehicles symposium (IV). – IEEE, 2022. – С. 435-440. 37 | false | false | false | |
18,101 | 2026-02-24T14:19:58.850000Z | 2026-02-24T14:19:58.850000Z | Lec. | Cooperative adaptive cruise control using vehicle-to-vehicle communication and deep learning //2022 IEEE intelligent vehicles symposium (IV). – IEEE, 2022. – С. 435-440. 36 | false | true | false | |
18,100 | 2026-02-24T14:19:54.785000Z | 2026-02-24T14:19:54.785000Z | Lec. | Ke H. et al | false | true | false | |
18,099 | 2026-02-24T14:19:52.087000Z | 2026-02-24T14:19:52.087000Z | Lec. | Intention‐Aware Autonomous Driving Decision‐Making in an Uncontrolled Intersection //Mathematical Problems in Engineering. – 2016. – Т. 2016. – №. 1. – С. 1025349. 35 | false | false | false | |
18,098 | 2026-02-24T14:19:48.359000Z | 2026-02-24T14:19:48.359000Z | Lec. | Song W., Xiong G., Chen H | false | false | false | |
18,097 | 2026-02-24T14:19:45.749000Z | 2026-02-24T14:19:45.749000Z | Lec. | V2vnet: Vehicle-to-vehicle communication for joint perception and prediction //Computer vision–ECCV 2020: 16th European conference, Glasgow, UK, August 23–28, 2020, proceedings, part II 16. – Springer International Publishing, 2020. – С. 605-621. 34 | false | false | false | |
18,096 | 2026-02-24T14:19:42.775000Z | 2026-02-24T14:19:42.775000Z | Lec. | Caesar H. et al. nuscenes: A multimodal dataset for autonomous driving //Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. – 2020. – С. 11621-11631. 33 | false | false | false | |
18,095 | 2026-02-24T14:19:39.596000Z | 2026-02-24T14:19:39.596000Z | Lec. | Multi-sensor fusion and cooperative perception for autonomous driving: A review //IEEE Intelligent Transportation Systems Magazine. – 2023. – Т. 15. – №. 5. – С. 36-58. 32 | false | true | false | |
18,094 | 2026-02-24T14:19:36.399000Z | 2026-02-24T14:19:36.399000Z | Lec. | Xiang C. et al | false | false | false | |
18,093 | 2026-02-24T14:19:33.595000Z | 2026-02-24T14:19:33.595000Z | Lec. | Reservation-prioritization-based mixed-traffic cooperative control at unsignalized intersections //IEEE Transactions on Intelligent Vehicles. – 2024. 31 | false | false | false | |
18,092 | 2026-02-24T14:19:30.575000Z | 2026-02-24T14:19:30.575000Z | Lec. | Zhong W. et al | false | false | false | |
18,091 | 2026-02-24T14:19:27.616000Z | 2026-02-24T14:19:27.616000Z | Lec. | Multi-agent reinforcement learning for traffic signal control //17th International IEEE Conference on Intelligent Transportation Systems (ITSC). – IEEE, 2014. – С. 2529-2534. 30 | false | true | false | |
18,090 | 2026-02-24T14:19:24.203000Z | 2026-02-24T14:19:24.203000Z | Lec. | K., Bhatnagar S | true | false | false | |
18,089 | 2026-02-24T14:19:21.377000Z | 2026-02-24T14:19:21.377000Z | Lec. | Prabuchandran K | true | false | false | |
18,088 | 2026-02-24T14:19:18.880000Z | 2026-02-24T14:19:18.880000Z | Lec. | Virtual traffic lights: System design and implementation //2018 IEEE 88th Vehicular Technology Conference (VTC-Fall). – IEEE, 2018. – С. 1-5. 29 | false | true | false | |
18,087 | 2026-02-24T14:19:15.855000Z | 2026-02-24T14:19:15.855000Z | Lec. | Zhang R. et al | false | false | false | |
18,086 | 2026-02-24T14:19:13.086000Z | 2026-02-24T14:19:13.086000Z | Lec. | A priority-based autonomous intersection management (AIM) scheme for connected automated vehicles (CAVs) //Vehicles. – 2021. – Т. 3. – №. 3. – С. 533-544. 28 | false | true | false | |
18,085 | 2026-02-24T14:19:09.589000Z | 2026-02-24T14:19:09.589000Z | Lec. | Zhang H. et al | false | false | false | |
18,084 | 2026-02-24T14:19:06.780000Z | 2026-02-24T14:19:06.780000Z | Lec. | Autonomous vehicle technology: A guide for policymakers. – Rand Corporation, 2014. 27 | false | true | false | |
18,083 | 2026-02-24T14:19:03.442000Z | 2026-02-24T14:19:03.442000Z | Lec. | A multiagent approach to autonomous intersection management //Journal of artificial intelligence research. – 2008. – Т. 31. – С. 591-656. 26 | false | true | false | |
18,082 | 2026-02-24T14:19:00.360000Z | 2026-02-24T14:19:00.360000Z | Lec. | Dresner K., Stone P | false | false | false | |
18,081 | 2026-02-24T14:18:57.829000Z | 2026-02-24T14:18:57.829000Z | Lec. | Optimal hybrid perimeter and switching plans control for urban traffic networks //IEEE Transactions on Control Systems Technology. – 2014. – Т. 23. – №. 2. – С. 464-478. 25 | false | true | false | |
18,080 | 2026-02-24T14:18:54.281000Z | 2026-02-24T14:18:54.281000Z | Lec. | Hajiahmadi M. et al | false | false | false | |
18,079 | 2026-02-24T14:18:51.042000Z | 2026-02-24T14:18:51.042000Z | Lec. | Improving the Urban Transport System Resilience Through Adaptive Traffic Signal Control Enabled by Decentralised Multiagent Reinforcement Learning //Journal of Advanced Transportation. – 2024. – Т. 2024. – №. 1. – С. 3035753. 24 | false | true | false | |
18,078 | 2026-02-24T14:18:47.882000Z | 2026-02-24T14:18:47.882000Z | Lec. | Yang X. et al | false | false | false | |
18,077 | 2026-02-24T14:18:45.072000Z | 2026-02-24T14:18:45.072000Z | Lec. | Spaan, Bram Bakker, Traffic flow optimization: A reinforcement learning approach, Engineering Applications of Artificial Intelligence, Volume 52, 2016, https://doi.org/10.1016/j.engappai.2016.01.001. 23 | false | false | false | |
18,076 | 2026-02-24T14:18:41.900000Z | 2026-02-24T14:18:41.900000Z | Lec. | Erwin Walraven, Matthijs T.J | true | false | false | |
18,075 | 2026-02-24T14:18:39.167000Z | 2026-02-24T14:18:39.167000Z | Lec. | Tomlin, "Decentralized cooperative collision avoidance for acceleration constrained vehicles," 2008 47th IEEE Conference on Decision and Control, Cancun, Mexico, 2008, pp. 4357-4363, doi: 10.1109/CDC.2008.4739434. 22 | false | false | false | |
18,074 | 2026-02-24T14:18:36.021000Z | 2026-02-24T14:18:36.021000Z | Lec. | Hoffmann and C | false | true | false | |
18,073 | 2026-02-24T14:18:33.124000Z | 2026-02-24T14:18:33.124000Z | Lec. | Performance analysis of decentralized vs centralized control for the traffic signal synchronization problem //Journal of Advanced Transportation. – 2020. – Т. 2020. – №. 1. – С. 8873962. 21 | false | false | false | |
18,072 | 2026-02-24T14:18:30.095000Z | 2026-02-24T14:18:30.095000Z | Lec. | Adacher L., Tiriolo M | false | false | false | |
18,071 | 2026-02-24T14:18:27.195000Z | 2026-02-24T14:18:27.195000Z | Lec. | Transportation Research Record, 2557(1), 66-76. https://doi.org/10.3141/2557-07. 20 | false | true | false | |
18,070 | 2026-02-24T14:18:24.065000Z | 2026-02-24T14:18:24.065000Z | Lec. | Performance Analysis of Centralized and Distributed Systems for Urban Traffic Control | false | false | false | |
18,069 | 2026-02-24T14:18:21.373000Z | 2026-02-24T14:18:21.373000Z | Lec. | F., & Sha, R. (2016) | false | false | false | |
18,068 | 2026-02-24T14:18:18.944000Z | 2026-02-24T14:18:18.944000Z | Lec. | Sotelo, "A Novel Multimode Hybrid Control Method for Cooperative Driving of an Automated Vehicle Platoon," in IEEE Internet of Things Journal, vol. 8, no. 7, pp. 5822-5838, 1 April1, 2021, DOI: 10.1109/JIOT.2020.3034221. 19 | false | true | false | |
18,067 | 2026-02-24T14:18:15.932000Z | 2026-02-24T14:18:15.932000Z | Lec. | Zheng and M | false | false | false | |
18,066 | 2026-02-24T14:18:13.274000Z | 2026-02-24T14:18:13.274000Z | Lec. | Malekian, S | false | false | false | |
18,065 | 2026-02-24T14:18:10.872000Z | 2026-02-24T14:18:10.872000Z | Lec. | URL: https://github.com/openai/maddpg. 18 | false | false | false | |
18,064 | 2026-02-24T14:18:08.022000Z | 2026-02-24T14:18:08.022000Z | Lec. | Multi-Agent Deep Deterministic Policy Gradient (MADDPG) [Электронный ресурс] | false | true | false | |
18,063 | 2026-02-24T14:18:05.044000Z | 2026-02-24T14:18:05.044000Z | Lec. | Lee, "Autonomous and Semiautonomous Intersection Management: A Survey," in IEEE Intelligent Transportation Systems Magazine, vol. 13, no. 2, pp. 53-70, Summer 2021, DOI: 10.1109/MITS.2020.3014074. 17 | false | true | false | |
18,062 | 2026-02-24T14:18:02.026000Z | 2026-02-24T14:18:02.026000Z | Lec. | Nejad and E | false | true | false | |
18,061 | 2026-02-24T14:17:59.171000Z | 2026-02-24T14:17:59.171000Z | Lec. | Zhang, "Cooperative Driving for Connected and Automated Vehicles at Non-signalized Intersection based on Model Predictive Control," 2019 IEEE Intelligent Transportation Systems Conference (ITSC), Auckland, New Zealand, 2019, pp. 2121-2126, DOI: 10.1109/ITSC.2019.8916786. 16 | false | true | false | |
18,060 | 2026-02-24T14:17:55.658000Z | 2026-02-24T14:17:55.658000Z | Lec. | Barth, "Infrastructure-Based Object Detection and Tracking for Cooperative Driving Automation: A Survey," 2022 IEEE Intelligent Vehicles Symposium (IV), Aachen, Germany, 2022, pp. 1366-1373, doi: 10.1109/IV51971.2022.9827461. 15 | false | true | false | |
18,059 | 2026-02-24T14:17:52.051000Z | 2026-02-24T14:17:52.051000Z | Lec. | Oguchi and M | false | false | false | |
18,058 | 2026-02-24T14:17:49.332000Z | 2026-02-24T14:17:49.332000Z | Lec. | URL: https://www.transportation.gov/briefing-room/us-dot-advances-deployment-connected-vehicle-technology-prevent-hundreds-thousands (accessed: 13.05.2021). 14 | false | false | false | |
18,057 | 2026-02-24T14:17:46.252000Z | 2026-02-24T14:17:46.252000Z | Lec. | DOT Advances Deployment Of Connected Vehicle Technology To Prevent Hundreds Of Thousands Of Crashes | US Department of Transportation [Electronic resource]. 2016 | false | true | false | |
18,056 | 2026-02-24T14:17:43.070000Z | 2026-02-24T14:17:43.070000Z | Lec. | P. 143–163. 13 | false | false | false | |
18,055 | 2026-02-24T14:17:40.250000Z | 2026-02-24T14:17:40.250000Z | Lec. | Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12331-3_3/. 12 | false | false | false | |
18,054 | 2026-02-24T14:17:37.332000Z | 2026-02-24T14:17:37.332000Z | Lec. | In: Wehrle, K., Güneş, M., Gross, J. (eds) Modeling and Tools for Network Simulation | false | true | false | |
18,053 | 2026-02-24T14:17:34.380000Z | 2026-02-24T14:17:34.380000Z | Lec. | Varga, A. (2010) | false | true | false | |
18,052 | 2026-02-24T14:17:31.457000Z | 2026-02-24T14:17:31.457000Z | Lec. | ISBN 978-1-61208-169-4. 11 | false | true | false | |
18,051 | 2026-02-24T14:17:28.572000Z | 2026-02-24T14:17:28.572000Z | Lec. | SIMUL 2011, 2011-10-23 - 2011-10-28, Barcelona | false | false | false | |
18,050 | 2026-02-24T14:17:26.073000Z | 2026-02-24T14:17:26.073000Z | Lec. | In: Proceedings of SIMUL 2011, The Third International Conference on Advances in System Simulation | false | true | false | |
18,049 | 2026-02-24T14:17:23.208000Z | 2026-02-24T14:17:23.208000Z | Lec. | Behrisch, Michael and Bieker, Laura and Erdmann, Jakob and Krajzewicz, Daniel (2011) SUMO – Simulation of Urban MObility: An Overview | false | false | false | |
18,048 | 2026-02-24T14:17:20.128000Z | 2026-02-24T14:17:20.128000Z | Lec. | Alexey Dosovitskiy, German Ros, Felipe Codevilla, Antonio Lopez, Vladlen Koltun, CARLA: An Open Urban Driving Simulator Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:1-16, 2017. 10 | true | false | false | |
18,047 | 2026-02-24T14:17:16.818000Z | 2026-02-24T14:17:16.818000Z | Lec. | P. 12–22. 9 | false | true | false | |
18,046 | 2026-02-24T14:17:13.835000Z | 2026-02-24T14:17:13.835000Z | Lec. | P. 167–181. 8 | false | false | false | |
18,045 | 2026-02-24T14:17:10.940000Z | 2026-02-24T14:17:10.940000Z | Lec. | Pergamon, 2015 | false | false | false | |
18,044 | 2026-02-24T14:17:08.036000Z | 2026-02-24T14:17:08.036000Z | Lec. | Part A Policy Pract | false | false | false | |
18,043 | 2026-02-24T14:17:05.394000Z | 2026-02-24T14:17:05.394000Z | Lec. | Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations // Transp | false | false | false | |
18,042 | 2026-02-24T14:17:02.342000Z | 2026-02-24T14:17:02.342000Z | Lec. | Fagnant D.J., Kockelman K | false | false | false | |
18,041 | 2026-02-24T14:16:59.787000Z | 2026-02-24T14:16:59.787000Z | Lec. | P. 289–299. 7 | false | false | false | |
18,040 | 2026-02-24T14:16:57.379000Z | 2026-02-24T14:16:57.379000Z | Lec. | Vol. 1, № 4 | false | false | false | |
18,039 | 2026-02-24T14:16:54.470000Z | 2026-02-24T14:16:54.470000Z | Lec. | Institute of Electrical and Electronics Engineers Inc., 2014 | false | false | false | |
18,038 | 2026-02-24T14:16:51.644000Z | 2026-02-24T14:16:51.644000Z | Lec. | Connected Vehicles: Solutions and Challenges // IEEE Internet Things J | false | false | false | |
18,037 | 2026-02-24T14:16:48.811000Z | 2026-02-24T14:16:48.811000Z | Lec. | Lu N. et al | false | false | false | |
18,036 | 2026-02-24T14:16:45.816000Z | 2026-02-24T14:16:45.816000Z | Lec. | P. 39–50. 6 | false | true | false | |
18,035 | 2026-02-24T14:16:42.859000Z | 2026-02-24T14:16:42.859000Z | Lec. | Institute of Electrical and Electronics Engineers, 2015 | false | false | false | |
18,034 | 2026-02-24T14:16:40.430000Z | 2026-02-24T14:16:40.430000Z | Lec. | The impact of cooperative perception on decision making and planning of autonomous vehicles // IEEE Intell | false | false | false | |
18,033 | 2026-02-24T14:16:37.489000Z | 2026-02-24T14:16:37.489000Z | Lec. | Kim S.W. et al | false | false | false | |
18,032 | 2026-02-24T14:16:34.409000Z | 2026-02-24T14:16:34.409000Z | Lec. | Summary for urban policymakers – what the IPCC special report on 1.5C means for cities. 2018. № December. 1–30 p. 5 | false | true | false | |
18,031 | 2026-02-24T14:16:31.712000Z | 2026-02-24T14:16:31.712000Z | Lec. | Bazaz A. et al | false | false | false | |
18,030 | 2026-02-24T14:16:28.733000Z | 2026-02-24T14:16:28.733000Z | Lec. | Annual Report on Road Safety in EU. 4 | false | true | false | |
18,029 | 2026-02-24T14:16:25.743000Z | 2026-02-24T14:16:25.743000Z | Lec. | European Transport Safety Council. (2022) | false | true | false | |
18,028 | 2026-02-24T14:16:22.392000Z | 2026-02-24T14:16:22.392000Z | Lec. | P. e390–e398. 3 | false | true | false | |
18,027 | 2026-02-24T14:16:19.437000Z | 2026-02-24T14:16:19.437000Z | Lec. | Vol. 3, № 9 | false | false | false | |
18,026 | 2026-02-24T14:16:16.876000Z | 2026-02-24T14:16:16.876000Z | Lec. | The global macroeconomic burden of road injuries: estimates and projections for 166 countries // Lancet Planet | false | true | false | |
18,025 | 2026-02-24T14:16:13.677000Z | 2026-02-24T14:16:13.677000Z | Lec. | Chen S. et al | false | false | false | |
18,024 | 2026-02-24T14:16:11.037000Z | 2026-02-24T14:16:11.037000Z | Lec. | Geneva, 2018. 2 | false | true | false | |
18,023 | 2026-02-24T14:16:08.238000Z | 2026-02-24T14:16:08.238000Z | Lec. | Global status report on road safety 2018 | false | true | false | |
18,022 | 2026-02-24T14:16:05.317000Z | 2026-02-24T14:16:05.317000Z | Lec. | Полученные в данной работе результаты могут служить основой для разработки и внедрения интеллектуальных транспортных систем нового поколения. 1 | false | true | false | |
18,021 | 2026-02-24T14:16:02.288000Z | 2026-02-24T14:16:02.288000Z | Lec. | Дальнейшие исследования могут быть направлены на изучение более сложных сценариев взаимодействия, оптимизацию разработанных алгоритмов и оценку влияния факторов неопределенности и задержек связи на эффективность совместной автоматизации | false | true | false | |
18,020 | 2026-02-24T14:15:59.444000Z | 2026-02-24T14:15:59.444000Z | Lec. | Результаты проведенного исследования подтверждают гипотезу о том, что совместная автоматизация управления дорожным движением является перспективным направлением для повышения эффективности и безопасности дорожного движения в условиях широкого распространения подключенных беспилотных транспортных средств | false | true | false | |
18,019 | 2026-02-24T14:15:56.375000Z | 2026-02-24T14:15:56.375000Z | Lec. | Кроме того, совместная автоматизация способствует более равномерному распределению скорости транспортных средств, что потенциально снижает вероятность возникновения заторов и повышает пропускную способность дорожной сети | false | true | false | |
18,018 | 2026-02-24T14:15:53.722000Z | 2026-02-24T14:15:53.722000Z | Lec. | В частности, наблюдается увеличение средней скорости автоматизированных транспортных средств, существенное снижение количества столкновений и повышение общего уровня безопасности дорожного движения | false | true | false | |
18,017 | 2026-02-24T14:15:50.870000Z | 2026-02-24T14:15:50.870000Z | Lec. | Полученные данные свидетельствуют о том, что совместное взаимодействие между транспортными средствами и элементами дорожной инфраструктуры приводит к значительному улучшению ключевых показателей движения | false | true | false | |
18,016 | 2026-02-24T14:15:47.988000Z | 2026-02-24T14:15:47.988000Z | Lec. | Представленный анализ и сравнение результатов моделирования различных сценариев дорожного движения четко демонстрирует преимущества использования совместной автоматизации управления | false | true | false | |
18,015 | 2026-02-24T14:15:45.335000Z | 2026-02-24T14:15:45.335000Z | Lec. | Эти эксперименты были направлены на оценку эффективности интегрированных моделей CDA в сравнении со сценариями, где транспортные средства оборудованы исключительно беспилотными технологиями | false | true | false | |
18,014 | 2026-02-24T14:15:42.499000Z | 2026-02-24T14:15:42.499000Z | Lec. | Кульминацией исследования стало проведение серии экспериментов с использованием имитационного моделирования | false | true | false | |
18,013 | 2026-02-24T14:15:39.695000Z | 2026-02-24T14:15:39.695000Z | Lec. | Для последующего тестирования были разработаны разнообразные сценарии дорожного движения, охватывающие различные условия трафика и взаимодействия между автоматизированными транспортными средствами | false | true | false | |
18,012 | 2026-02-24T14:15:36.875000Z | 2026-02-24T14:15:36.875000Z | Lec. | Одним из ключевых этапов работы стала доработка алгоритмов совместной автоматизации дорожного движения в выбранной среде моделирования CAVISE | false | true | false | |
18,011 | 2026-02-24T14:15:33.827000Z | 2026-02-24T14:15:33.827000Z | Lec. | Также был выполнен анализ существующих инструментов для имитационного моделирования подключенного и беспилотного транспорта, определены наиболее подходящие из них для целей исследования | false | true | false | |
18,010 | 2026-02-24T14:15:31.374000Z | 2026-02-24T14:15:31.374000Z | Lec. | В рамках исследования был проведен всесторонний анализ существующих алгоритмов регулирования проезда автоматизированными транспортными средствами перекрестков, алгоритмов совместного восприятия для подключенного беспилотного транспорта и подходов к CDA | false | false | false | |
18,009 | 2026-02-24T14:15:28.266000Z | 2026-02-24T14:15:28.266000Z | Lec. | Данная работа была посвящена исследованию и оценке влияния CDA на поведение подключенных беспилотных транспортных средств | false | true | false | |
18,008 | 2026-02-24T14:15:24.859000Z | 2026-02-24T14:15:24.859000Z | Lec. | Использование дорожной инфраструктуры, предоставляющей своевременную и релевантную информацию (RSU), позволяет значительно улучшить ключевые показатели движения, особенно в условиях сложного трафика и при взаимодействии нескольких автономных участников движения | false | true | false |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.