Laser Scanning Systems in Highway and Safety Assessment

Laser Scanning Systems in Highway and Safety Assessment

Analysis of Highway Geometry and Safety Using LiDAR

Ibrahim Sameen, Maher; Pradhan, Biswajeet

Springer Nature Switzerland AG

04/2019

157

Dura

Inglês

9783030103736

15 a 20 dias

753

Descrição não disponível.
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.
Traffic Accidents Prediction Model;Deep Learning;Recurrent Neural Network;LiDAR;Road Geometry;Neural Networks versus statistical methods;Geometric modeling of road networks;Traffic Safety and Transportation;remote sensing/photogrammetry;data-driven science, modeling and theory building