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