publication . Conference object . 2019

Why did the human cross the road?

Panayiotis Charalambous; Yiorgos Chrysanthou;
Open Access English
  • Published: 28 Oct 2019
Abstract
‘‘Humans at rest tend to stay at rest. Humans in motion tend to cross the road – Isaac Newton.” Even though this response is meant to be a joke to indicate the answer is quite obvious, this important feature of real world crowds is rarely considered in simulations. Answering this question involves several things such as how agents balance between reaching goals, avoid collisions with heterogeneous entities and how the environment is being modeled. As part of a preliminary study, we introduce a reinforcement learning framework to train pedestrians to cross streets with bidirectional traffic. Our initial results indicate that by using a very simple goal centric re...
Subjects
free text keywords: Traffic simulation, Animation, Crowd simulation, Computer science, Crowds, Human–computer interaction, Reinforcement learning, Bidirectional traffic
Funded by
EC| RISE
Project
RISE
Research Center on Interactive Media, Smart System and Emerging Technologies
  • Funder: European Commission (EC)
  • Project Code: 739578
  • Funding stream: H2020 | SGA-CSA
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publication . Conference object . 2019

Why did the human cross the road?

Panayiotis Charalambous; Yiorgos Chrysanthou;