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Laser Scanning Technologies in Road Geometry Modeling Read chapter Read first chapter

2020 | OriginalPaper | Chapter

11. Applications of Deep Learning in Severity Prediction of Traffic Accidents

Authors : Biswajeet Pradhan, Maher Ibrahim Sameen

Published in: Laser Scanning Systems in Highway and Safety Assessment

Publisher: Springer International Publishing

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Abstract

Future prediction is a fascinating topic for human endeavor and is identified as a critical tool in transportation management. Understanding an entire transportation network is more difficult than transportation on a single road. The main purpose of this effort is to provide a superior route with high safety level and support traffic managers in efficiently managing road network.

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previous chapter Predicting Injury Severity of Road Traffic Accidents Using a Hybrid Extreme Gradient Boosting and Deep Neural Network Approach
next chapter Forecasting Severity of Motorcycle Crashes Using Transfer Learning
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Metadata
Title
Applications of Deep Learning in Severity Prediction of Traffic Accidents
Authors
Biswajeet Pradhan
Maher Ibrahim Sameen
Copyright Year
2020
Book
Laser Scanning Systems in Highway and Safety Assessment

Print ISBN: 978-3-030-10373-6

Electronic ISBN: 978-3-030-10374-3

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-10374-3_11

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