mlsanityData to 7 Oct 2026

Data-Driven Traffic Simulation for an Intersection in a Metropolis

arXiv 2408.00943 ↗First posted 1 Aug 2024cs.CVcited by 0

Not on the map. Why?

Abstract (arXiv)

We present a novel data-driven simulation environment for modeling traffic in metropolitan street intersections. Using real-world tracking data collected over an extended period of time, we train trajectory forecasting models to learn agent interactions and environmental constraints that are difficult to capture conventionally. Trajectories of new agents are first coarsely generated by sampling from the spatial and temporal generative distributions, then refined using state-of-the-art trajectory forecasting models. The simulation can run either autonomously, or under explicit human control conditioned on the generative distributions. We present the experiments for a variety of model configurations. Under an iterative prediction scheme, the way-point-supervised TrajNet++ model obtained 0.36 Final Displacement Error (FDE) in 20 FPS on an NVIDIA A100 GPU.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 15 of its 29 references that are in the map. First posted on arXiv 1 Aug 2024.

Builds on

15 of 29 references.

References · 15

  1. 2014Conditional Generative Adversarial Netscited by 2,152
  2. 2018Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networkscited by 687
  3. 2021Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Datasetcited by 532
  4. 2018SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraintscited by 296
  5. 2020From Goals, Waypoints & Paths To Long Term Human Trajectory Forecastingcited by 166
  6. 2020Human Trajectory Forecasting in Crowds: A Deep Learning Perspectivecited by 128
  7. 2019Conditional Generative Neural System for Probabilistic Trajectory Predictioncited by 76
  8. 2022Human Trajectory Prediction via Neural Social Physicscited by 66
  9. 2021Stepwise Goal-Driven Networks for Trajectory Predictioncited by 62
  10. 2024UniTraj: A Unified Framework for Scalable Vehicle Trajectory Predictioncited by 51
  11. 2020TrajGAIL: Generating Urban Vehicle Trajectories using Generative Adversarial Imitation Learningcited by 46
  12. 2019Conditional Flow Variational Autoencoders for Structured Sequence Predictioncited by 36
3 more
  1. 2022End-to-End Trajectory Distribution Prediction Based on Occupancy Grid Mapscited by 22
  2. 2023Controlling Structured Output Representations from Attributes using Conditional Generative Modelscited by 4
  3. 2024AMEND: A Mixture of Experts Framework for Long-tailed Trajectory Predictioncited by 4

Built on by

Not cited yet.