Point-of-Conflict Prediction for Pedestrian Path-Planning

Thanh Trung Trinh, Dinh Minh Vu, Masaomi Kimura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

A simulation model for pedestrian navigation often requires many problems to be addressed. An example is pedestrian path-planning in the case of a moving obstacle within the environment. To resolve the problem, it is necessary to model the prediction process of the pedestrian agent in order to specify a point-of-conflict area. In this paper, we propose an approach for our pedestrian agent to navigate in this situation. This process is accomplished by predicting a possible point-of-conflict with the obstacle and planning the path accordingly. Our implementation of this approach has demonstrated the capability of the agent to plan a more competent path as well as closer to the thinking process in human cognition.

Original languageEnglish
Title of host publicationProceedings of ICCMS 2020 - 12th International Conference on Computer Modeling and Simulation and ICICA 2020 - 9th International Conference on Intelligent Computing and Applications
PublisherICST
Pages88-92
Number of pages5
ISBN (Electronic)9781450377034
DOIs
Publication statusPublished - 2020 Jun 22
Event12th International Conference on Computer Modeling and Simulation, ICCMS 2020 and the 9th International Conference on Intelligent Computing and Applications. ICICA 2020 - Virtual, Online, Australia
Duration: 2020 Jun 222020 Jun 24

Publication series

NamePervasiveHealth: Pervasive Computing Technologies for Healthcare
ISSN (Print)2153-1633

Conference

Conference12th International Conference on Computer Modeling and Simulation, ICCMS 2020 and the 9th International Conference on Intelligent Computing and Applications. ICICA 2020
Country/TerritoryAustralia
CityVirtual, Online
Period20/6/2220/6/24

Keywords

  • computer agent
  • path planning
  • pedestrian navigation
  • prediction

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Computer Science Applications
  • Health Informatics

Fingerprint

Dive into the research topics of 'Point-of-Conflict Prediction for Pedestrian Path-Planning'. Together they form a unique fingerprint.

Cite this