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Modeling heterogeneous speed profiles in discrete models for pedestrian simulation., , и . AAMAS, стр. 1541-1542. IFAAMAS/ACM, (2014)Between Avoidance and Imitation: Plausible Wayfinding in Pedestrian Agent-Based Models., , и . WOA, том 2215 из CEUR Workshop Proceedings, стр. 1-9. CEUR-WS.org, (2018)Adaptive Hybrid Agents for Tactical Decisions in Pedestrian Environments., , и . WOA, том 1382 из CEUR Workshop Proceedings, стр. 115-122. CEUR-WS.org, (2015)Multiscale Pedestrian Modeling with CA and Agent-Based Approaches: Ubiquity or Consistency?, , и . ACRI, том 9863 из Lecture Notes in Computer Science, стр. 415-423. Springer, (2016)Lane-formation in counter-flow based on DBSCAN., , , , , и . EM-GIS@SIGSPATIAL, стр. 3:1-3:6. ACM, (2018)A Deep Reinforcement Learning Approach to Adaptive Traffic Lights Management., , , и . WOA, том 2404 из CEUR Workshop Proceedings, стр. 42-50. CEUR-WS.org, (2019)Integrated Analysis and Synthesis of Pedestrian Dynamics: First Results in a Real World Case Study., , и . WOA@AI*IA, том 1099 из CEUR Workshop Proceedings, стр. 30-40. CEUR-WS.org, (2013)Multi-scale Simulation for Crowd Management: A Case Study in an Urban Scenario., , и . AAMAS Workshops (Selected Papers), том 10002 из Lecture Notes in Computer Science, стр. 147-162. (2016)Learning Obervables of a Multi-scale Simulation System of Urban Traffic., , , и . ATT@IJCAI, том 2129 из CEUR Workshop Proceedings, стр. 40-48. CEUR-WS.org, (2018)Identification and Characterization of Lanes in Pedestrian Flows Through a Clustering Approach., , , и . AI*IA, том 11298 из Lecture Notes in Computer Science, стр. 71-82. Springer, (2018)