mlsanityData to 7 Oct 2026

Pedestrian Simulation: A Review

arXiv 2102.03289 ↗First posted 5 Feb 2021cs.RO cs.AI physics.soc-phcited by 5

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Abstract (arXiv)

This article focuses on different aspects of pedestrian (crowd) modeling and simulation. The review includes: various modeling criteria, such as granularity, techniques, and factors involved in modeling pedestrian behavior, and different pedestrian simulation methods with a more detailed look at two approaches for simulating pedestrian behavior in traffic scenes. At the end, benefits and drawbacks of different simulation techniques are discussed and recommendations are made for future research.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 16 of its 52 references that are in the map. First posted on arXiv 5 Feb 2021.

Builds on

16 of 52 references.

References · 16

  1. 2018Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networkscited by 687
  2. 2020Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Predictioncited by 324
  3. 2017DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agentscited by 310
  4. 2019CoverNet: Multimodal Behavior Prediction using Trajectory Setscited by 259
  5. 2020It Is Not the Journey but the Destination: Endpoint Conditioned Trajectory Predictioncited by 235
  6. 2017Social Attention: Modeling Attention in Human Crowdscited by 185
  7. 2019Rules of the Road: Predicting Driving Behavior with a Convolutional Model of Semantic Interactionscited by 117
  8. 2019Peeking into the Future: Predicting Future Person Activities and Locations in Videoscited by 112
  9. 2018Autonomous Vehicles that Interact with Pedestrians: A Survey of Theory and Practicecited by 74
  10. 2020Recursive Social Behavior Graph for Trajectory Predictioncited by 66
  11. 2020Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNscited by 48
  12. 2017Agreeing to Cross: How Drivers and Pedestrians Communicatecited by 23
4 more
  1. 2020Multi-Modal Hybrid Architecture for Pedestrian Action Predictioncited by 23
  2. 2020STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection and Trajectory Predictioncited by 22
  3. 2020Deep Learning for Vision-based Prediction: A Surveycited by 19
  4. 2020Graph-SIM: A Graph-based Spatiotemporal Interaction Modelling for Pedestrian Action Predictioncited by 12

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 1; 2022: 0; 2023: 0; 2024: 2; 2025: 0; 2026: 2.

5 papers.

  1. 2021LOKI: Long Term and Key Intentions for Trajectory Predictioncited by 57
  2. 2024Social Physics Informed Diffusion Model for Crowd Simulationcited by 11
  3. 2024A Data-driven Crowd Simulation Framework Integrating Physics-informed Machine Learning with Navigation Potential Fieldscited by 2
  4. 2026STDDN: A Physics-Guided Deep Learning Framework for Crowd Simulationcited by 0
  5. 2026PedNStream: Scalable Network Flow Simulation for Pedestrian Traffic Managementcited by 0