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Truck traffic monitoring with satellite images

  • The road freight sector is responsible for a large and growing share of greenhouse gas emissions, but reliable data on the amount of freight that is moved on roads in many parts of the world are scarce. Many low-and middle-income countries have limited ground-based traffic monitoring and freight surveying activities. In this proof of concept, we show that we can use an object detection network to count trucks in satellite images and predict average annual daily truck traffic from those counts. We describe a complete model, test the uncertainty of the estimation, and discuss the transfer to developing countries.

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Metadaten
Document Type:Part of a Book
Language:German
Author(s):Lynn KaackORCiD, George Chen, M Granger Morgan
Parent Title (German):Proceedings of the 2nd ACM SIGCAS Conference on Computing and Sustainable Societies
Publisher:Association for Computing Machinery
Place of Publisher:New York
Publication year:2019
Publishing Institution:Hertie School
First Page:155
Last Page:164
DOI:https://doi.org/10.1145/3314344
Release Date:2021/10/07
Licence of document (German):Metadaten / metadata
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