Laser scanning systems in highway and safety assessment : analysis of highway geometry and safety using LiDAR

Laser scanning systems in highway and safety assessment : analysis of highway geometry and safety using LiDAR / Biswajeet Pradhan, Maher Ibrahim Sameen.

This book aims to promote the core understanding of a proper modelling of road traffic accidents by deep learning methods using traffic information and road geometry delineated from laser scanning data. The first two chapters of the book introduce the reader to laser scanning technology with creativ...

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Bibliographic Details
Main Authors: Pradhan, Biswajeet (Author), Sameen, Maher Ibrahim (Author)
Format: eBook
Language:English
Published: Cham, Switzerland : Springer, 2020.
Series:Advances in science, technology & innovation,
Subjects:
Roads > Remote sensing.
Optical radar.
Optical radar
Roads > Remote sensing
Online Access:Click for online access
Table of Contents:
  • Introduction to Laser Scanning Technology
  • Road Geometric Modeling Using Laser-Scanning Data
  • Optimizing support vector machine and ensemble trees using the Taguchi method for automatic road network extraction
  • Road Geometric Modeling Using a Novel Hierarchical Approach
  • Introduction to Neural Networks
  • Traffic Accidents Predictions with Neural Networks: A Review
  • Applications of Deep Learning in Severity Prediction of Traffic Accidents
  • Accident Modelling Using Feedforward Neural Networks
  • Accident Severity Prediction with Convolutional Neural Networks
  • Injury Severity Prediction Using Recurrent Neural Networks
  • Improving Traffic Accident Prediction Models with Transfer Learning
  • A Comparative Study between Neural Networks, Support Vector Machine, and Logistic Regression for Accident Predictions
  • Estimation of Accident Factor Importance in Neural Network Models.

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