Understanding and Guiding Pedestrian and Crowd Motion [supporting datasets]

Yang, Dongfang; Redmill, Keith; Ozguner, Umit

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Understanding and Guiding Pedestrian and Crowd Motion [supporting datasets]

Dataset Supporting Files

2019-04-19
By Yang, Dongfang ; Redmill, Keith ; Ozguner, Umit

File Language:

English

Details

Creators:

Yang, Dongfang ; Redmill, Keith ; Ozguner, Umit
Corporate Creators:

Mobility21, Carnegie Mellon University
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
Subject/TRT Terms:
Resource Type:

Dataset
Geographical Coverage:

United States
Corporate Publisher:

Mobility21, Carnegie Mellon University
Abstract:

The CITR dataset was collected in the controlled experiments that were conducted in a parking lot near the facility of Control and Intelligent Transportation Research (CITR) Lab at The Ohio State University (OSU). The controlled experiments consist of a series of fundamental vehicle-crowd interactions in the hope of analyzing interactive pedestrian motion under the vehicle influence. A DJI Phantom 3 SE Drone with a down-facing camera on a gimbal system was used as the recording equipment. Participants are members of CITR Lab at OSU. During the experiments, they were instructed to walk from one small area (starting points) to another small area (destinations). The employed vehicle was an EZ-GO Golf Cart manually driven by a participant. 3 markers were put on top of the vehicle to help vehicle motion tracking, of which the vehicle center position is calculated by geometry.
Format:

ZIP
Funding:

69A3551747111
Download URL:

https://rosap.ntl.bts.gov/view/dot/56255/dot_56255_DS1.pdf
File Type:

[PDF - 530.12 KB]
Collection(s):

Autonomous Vehicles ; University Transportation Centers ; US Transportation Collection
Main Document Checksum:

urn:sha-512:7291ae2475ebf1a3b36530ed9ac3378676c9f5dcbea2eaaee260e1a4941500607a7850a497cd504b07efb9a839ad015bfa0b03b4bd281fdd6a4b54e8f2b09470

Understanding_and_Guiding_Pedestrian_and_Crowd_Motion_Metadata.json

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Understanding and Guiding Pedestrian and Crowd Motion

Future transportation system is expected to be in a hybrid form instead of the basic road-vehicle-passenger relationship that is still very common in ...

Yang, Dongfang

;

Redmill, Keith

File Language:

English

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