Graduate Thesis Or Dissertation

 

A data-driven model of pedestrian movement Public Deposited

Downloadable Content

Download PDF
https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/xk81jq36j

Descriptions

Attribute NameValues
Creator
Abstract
  • This thesis presents a model for simulating individual pedestrian motion based on empirical data. The model keeps track of a pedestrian’s position, orientation, and body configuration and leverages motion capture data to generate plausible motion. Our model can automatically incorporate a pedestrian’s physical limitations when making movement decisions, since it takes into account the current configuration of the character. Models can also be built for generating heterogeneous crowds by collecting motion capture data that includes children, the elderly, pedestrians in wheelchairs, and people on crutches. In this thesis, we present a 2D model for an able-bodied male and demonstrate the realism of our approach with a few small scale simulations and a larger crowd evacuation scenario. Furthermore, we compare the speed and density of pedestrians walking in single file to existing empirical results. The thesis concludes with a discussion of our model and offers suggestions for further research.
License
Resource Type
Date Available
Date Issued
Degree Level
Degree Name
Degree Field
Degree Grantor
Commencement Year
Advisor
Committee Member
Academic Affiliation
Non-Academic Affiliation
Subject
Rights Statement
Publisher
Peer Reviewed
Language
File Format
File Extent
  • 7237097 bytes
Replaces
Additional Information
  • description.provenance : Made available in DSpace on 2006-08-07T22:46:06Z (GMT). No. of bitstreams: 1 mythesis.pdf: 7237097 bytes, checksum: ae1e5a438e3cb8aaba49d0e9c536cfb6 (MD5)
  • description.provenance : Submitted by Ledah Casburn (casburnl) on 2006-08-02T06:03:05Z No. of bitstreams: 1 mythesis.pdf: 7237097 bytes, checksum: ae1e5a438e3cb8aaba49d0e9c536cfb6 (MD5)
  • description.provenance : Approved for entry into archive by Julie Kurtz(julie.kurtz@oregonstate.edu) on 2006-08-07T17:27:04Z (GMT) No. of bitstreams: 1 mythesis.pdf: 7237097 bytes, checksum: ae1e5a438e3cb8aaba49d0e9c536cfb6 (MD5)

Relationships

Parents:

This work has no parents.

In Collection:

Items