Laser Scanning Systems in Highway and Safety Assessment
Analysis of Highway Geometry and Safety Using LiDAR
Presents an overview of laser scanning technology in the context of road geometry modelling Includes a comprehensive review on road geometry modelling and traffic accident prediction with neural networks Introduces neural networks with simple theoretical backgrounds and creative illustration Contains special chapters on novel deep learning models developed for predicting traffic accidents Includes a comparative study between neural networks and statistical methods
| Autor: | Ibrahim Sameen, Maher Pradhan, Biswajeet |
|---|---|
| ISBN: | 9783030103736 |
| Sprache: | Englisch |
| Seitenzahl: | 157 |
| Produktart: | Gebunden |
| Verlag: | Springer International Publishing |
| Veröffentlicht: | 18.04.2019 |
| Untertitel: | Analysis of Highway Geometry and Safety Using LiDAR |
| Schlagworte: | Deep Learning Geometric modeling of road networks LiDAR Neural Networks versus statistical methods Recurrent Neural Network Road Geometry Traffic Accidents Prediction Model Traffic Safety and Transportation data-driven science, modeling and theory building remote sensing/photogrammetry |
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