Vehicle and Pedestrian Trajectory and Gap Estimation for Traffic Conflict Prediction

Hauptmann, Alexander

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Vehicle and Pedestrian Trajectory and Gap Estimation for Traffic Conflict Prediction

2022-02-01
By Hauptmann, Alexander

File Language:

English

Details

Creators:

Hauptmann, Alexander
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:

Tech Report
Geographical Coverage:

United States
Edition:

Final Research
Corporate Publisher:

Mobility21, Carnegie Mellon University
Abstract:

In this project, the authors have developed components of a system to identify and measure vehicle and pedestrian trajectories, speed, and inter-vehicle gaps using video feeds from arbitrary traffic surveillance cameras. The potential impact to transportation safety is the ability to detect crashes in real-time and capture near crashes or accidents and their context. Real-time analysis allows for immediate notification, detecting traffic density and speeds. Alerting safety planners to near-miss crash events and related contextual information, could provide critical information for safety enhancement through appropriate infrastructure safety modifications. The authors also generalized this research to deal with large scale analysis of vehicle activities, and tracking of multiple cars with the ability to re-identify the same cars at different city roads from different cameras. In parallel, the authors also decided to focus on the prediction pedestrian routes and trajectories in a city as well as in typical road situations.
Format:

PDF
Funding:

69A3551747111
Download URL:

https://rosap.ntl.bts.gov/view/dot/60837/dot_60837_DS1.pdf
File Type:

[PDF - 1.92 MB]
Collection(s):

University Transportation Centers
Main Document Checksum:

urn:sha-512:93e3cf1cb11ac8b0d1ca5cae841e11ec12e7c67df7056b9fe910987f6db633ef3a9964a125616d77216b6456bf4e8e871c9659865fc26b44401571be3459b9b4

Vehicle and Pedestrian Trajectory and Gap Estimation for Traffic Conflict Prediction [supporting datasets]

Dataset

In this project, the authors have developed components of a system to identify and measure vehicle and pedestrian trajectories, speed, and inter-vehic ...

Mobility21, Carnegie Mellon University

File Language:

English

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Details Datasets

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