Effect of Pedestrian and Crowds on Vehicle Motion and Traffic Flow
Using data collected and motion modelling developed in a previous project in this UTC, "Understanding and Guiding Pedestrian and Crowd Motion", as well as additional data to be collected, the project team will: (1) Develop pedestrian intention and motion modelling and prediction, with experimental validation, (2) Refine the sensor package and data analysis techniques of the project team's pedestrian motion data collection system and datasets, (3) Develop vehicle’s motion planning and control algorithm for navigating, dodging, or stopping in pedestrian interaction scenarios.
- Record URL:
Language
- English
Project
- Status: Completed
- Funding: $99648
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Contract Numbers:
69A3551747111
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Sponsor Organizations:
National University Transportation Center for Improving Mobility (Mobility21)
Carnegie Mellon University
Pittsburgh, PA United States 15213Office of the Assistant Secretary for Research and Technology
University Transportation Center Program
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Managing Organizations:
National University Transportation Center for Improving Mobility (Mobility21)
Carnegie Mellon University
Pittsburgh, PA United States 15213 -
Project Managers:
Kline, Robin
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Performing Organizations:
The Ohio State University
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Principal Investigators:
Ozguner, Umit
- Start Date: 20200201
- Expected Completion Date: 20230630
- Actual Completion Date: 20230814
- USDOT Program: University Transportation Centers
Subject/Index Terms
- TRT Terms: Autonomous vehicles; Crowds; Data collection; Detection and identification systems; Mathematical models; Motion; Pedestrians; Sensors; Traffic flow; Trajectory control
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Pedestrians and Bicyclists; Safety and Human Factors; Vehicles and Equipment;
Filing Info
- Accession Number: 01760140
- Record Type: Research project
- Source Agency: National University Transportation Center for Improving Mobility (Mobility21)
- Contract Numbers: 69A3551747111
- Files: UTC, RIP
- Created Date: Dec 16 2020 2:21PM