DeepAI AI Chat
Log In Sign Up

Data-Driven Crowd Simulation with Generative Adversarial Networks

by   Javad Amirian, et al.

This paper presents a novel data-driven crowd simulation method that can mimic the observed traffic of pedestrians in a given environment. Given a set of observed trajectories, we use a recent form of neural networks, Generative Adversarial Networks (GANs), to learn the properties of this set and generate new trajectories with similar properties. We define a way for simulated pedestrians (agents) to follow such a trajectory while handling local collision avoidance. As such, the system can generate a crowd that behaves similarly to observations, while still enabling real-time interactions between agents. Via experiments with real-world data, we show that our simulated trajectories preserve the statistical properties of their input. Our method simulates crowds in real time that resemble existing crowds, while also allowing insertion of extra agents, combination with other simulation methods, and user interaction.


A Clustering Based Approach for Realistic and Efficient Data-Driven Crowd Simulation

In this paper, we present a data-driven approach to generate realistic s...

Scenario Generalization of Data-driven Imitation Models in Crowd Simulation

Crowd simulation, the study of the movement of multiple agents in comple...

SafeCritic: Collision-Aware Trajectory Prediction

Navigating complex urban environments safely is a key to realize fully a...

BeCAPTCHA-Mouse: Synthetic Mouse Trajectories and Improved Bot Detection

We first study the suitability of behavioral biometrics to distinguish b...

Crowd-aware itinerary recommendation: a game-theoretic approach to optimize social welfare

The demand for Itinerary Planning grows rapidly in recent years as the e...

Understanding Human Behaviors in Crowds by Imitating the Decision-Making Process

Crowd behavior understanding is crucial yet challenging across a wide ra...

TraInterSim: Adaptive and Planning-Aware Hybrid-Driven Traffic Intersection Simulation

Traffic intersections are important scenes that can be seen almost every...