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MARL-Ped: A multi-agent reinforcement learning based framework to simulate pedestrian groups

  • Published:2014-09 Issue: Volume:47 Page:259-275
  • ISSN:1569-190X
  • Container-title:Simulation Modelling Practice and Theory
  • language:en
  • Short-container-title:Simulation Modelling Practice and Theory

Author:

Martinez-Gil Francisco,Lozano Miguel,Fernández Fernando

Funder

University of Valencia

Spanish MICINN and European Commission FEDER

Fernando Fernández

Publisher

Elsevier BV

Subject

Hardware and Architecture,Modeling and Simulation,Software

Reference46 articles.

1. A microsimulation model for pedestrian flows;Gipps;Math. Comput. Simulat.,1985

2. Evolution of corridor following behavior in a noisy world;Reynolds,2003

3. Autonomous pedestrians;Shao,2005

4. Social force model for pedestrian dynamics;Helbing;Phys. Rev. E,1995

5. Controlling individual agents in high-density crowd simulation;Pelechano,2007

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2. Consideration of Human Vision in Crowd Simulations;IEEE Transactions on Intelligent Transportation Systems;2024

3. Social Interaction‐Aware Dynamical Models and Decision‐Making for Autonomous Vehicles;Advanced Intelligent Systems;2023-12

4. Sampling the Scenario Feature for Pedestrians Trajectory Prediction;2023 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD);2023-11-02

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