Towards Building a Naturalistic Cycling Dataset Capturing Bicycle/Car Interactions

Fahd Alazemi, Karim Fadhloun, Hesham Ahmed Rakha, Archak Mittal

2023

Abstract

As machine learning and computer vision techniques and methods continue to advance, the collection of naturalistic traffic data from video feeds is becoming more and more feasible. That is especially true for the case of bicycles, for which the collection of naturalistic data is not achievable in the traditional vehicle approach. This study describes a research effort that aims to extract naturalistic cycling data from a video dataset for use in safety and mobility applications. The used videos come from a dataset collected in a previous Virginia Tech Transportation Institute study in collaboration with SPIN in which continuous video data at a non-signalized intersection on the Virginia Tech campus was recorded. The research team applied computer vision and machine learning techniques to develop a comprehensive framework for the extraction of naturalistic cycling trajectories. In total, this study resulted in the collection and classification of 619 bicycle trajectories based on their type of interactions with other road users. The results confirm the success of the proposed methodology in relation to extracting the locations, speeds, and accelerations of the bicycles at a high level of precision. Furthermore, preliminary insights into the acceleration and speed behavior of bicyclists around motorists are determined. The resulting dataset will be made available to the research community once the required approvals have been obtained from the study sponsors.

Paper Citation

in Harvard Style

Alazemi F., Fadhloun K., Ahmed Rakha H. and Mittal A. (2023). Towards Building a Naturalistic Cycling Dataset Capturing Bicycle/Car Interactions. In Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-652-1, SciTePress, pages 35-45. DOI: 10.5220/0011710000003479

in Bibtex Style

@conference{vehits23,
author={Fahd Alazemi and Karim Fadhloun and Hesham Ahmed Rakha and Archak Mittal},
title={Towards Building a Naturalistic Cycling Dataset Capturing Bicycle/Car Interactions},
booktitle={Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2023},
pages={35-45},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011710000003479},
isbn={978-989-758-652-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - Towards Building a Naturalistic Cycling Dataset Capturing Bicycle/Car Interactions
SN - 978-989-758-652-1
AU - Alazemi F.
AU - Fadhloun K.
AU - Ahmed Rakha H.
AU - Mittal A.
PY - 2023
SP - 35
EP - 45
DO - 10.5220/0011710000003479
PB - SciTePress