Chapter
Aug 31, 2020
International Conference on Transportation and Development 2020

The Potential of Using Drone Affiliated Technologies for Various Types of Traffic and Driver Behavior Studies

Publication: International Conference on Transportation and Development 2020

ABSTRACT

Many types of traffic studies require collecting field data, from traditional intersection turning movement count, travel time, queue length, and approach delay, to more detailed data in support of advanced studies like traffic conflicts, origin-destination volumes and travel times, and vehicle trajectories, etc. Many technologies are available, cost, accuracy, data collection frequency and duration, and ease of data maintenance are driving factors in selecting appropriate technologies to fulfill the needs of specific traffic studies. Aerial survey for traffic data collection can monitor a large area with few equipment and has been proven a viable approach. In recent years, drone based traffic data collection becomes increasingly popular due to its lower cost, clearer imagery, and larger field of view than ground based approach. This paper reviews the field data collection methods used in FHWA intersection field evaluation projects that involved collecting traffic data at various sized intersections. The technologies used evolved from the traditional on the ground technologies, to helicopter based aerial surveys, and drone based aerial surveys. Comparing to traditional on the ground approaches, aerial survey offers the advantages of less personnel, larger coverage area, no disruption to traffic flow, and often lower cost. The authors will discuss the potentials of drones in various types of traffic and driver behavior studies and its limitations.

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REFERENCES

1. ITE, Manual of Transportation Engineering Studies, 2nd Edition. ISBN: ISBN-13: 978-1-933452-53-1; ISBN-10: 1-933452-53-6, 2010.
2. FHWA, Alternative Intersections/Interchanges: Informational Report (AIIR), Publication Number: FHWA-HRT-09-060, April 2009. https://www.fhwa.dot.gov/publications/research/safety/09060/.
5. Giuseppe Salvo, Luigi Caruso, Alessandro Scordo, Giuseppe Guido & Alessandro Vitale Traffic data acquirement by unmanned aerial vehicle, European Journal of Remote Sensing, Volume 50, 2017 – Issue 1, Pages 343–351.
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7. Anuj Puri, Statistical Profile Generation of Real-Time UAV-Based Traffic Data, Ph.D. Dissertation, University of South Florida, August 28, 2008.
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Information & Authors

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Go to International Conference on Transportation and Development 2020
International Conference on Transportation and Development 2020
Pages: 221 - 233
Editor: Guohui Zhang, Ph.D., University of Hawaii
ISBN (Online): 978-0-7844-8313-8

History

Published online: Aug 31, 2020
Published in print: Aug 31, 2020

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Authors

Affiliations

Wei Zhang, Ph.D. [email protected]
P.E.
1Highway Research Engineer and Program Manager, Intersection Safety R&D, FHWA Office of Safety and Operations R&D, McLean, VA. Email: [email protected]
Greg Jordan [email protected]
2Assistant to the Director, Univ. of Maryland CATT Laboratory, MD; President, Skycomp, Inc. Email: [email protected]
3Director of Survey Operations, Skycomp, Inc., Glenwood, MD. Email: [email protected]

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