Chapter 1 Laser Scanning Technologies in Road Geometry Modeling

Chapter 2 Road Geometric Modeling Using Laser Scanning Data: A Critical Review

Chapter 3 Road Geometric Modeling Using a Novel Hierarchical Approach

Chapter 4 Optimizing Support Vector Machine and Ensemble Trees Using Taguchi Method for Road Extraction from LiDAR Data

Chapter 5 An Integrated Machine Learning Approach for Automatic Highway Extraction from Airborne LiDAR Data and Orthophotos

Chapter 6 Effect of Roadside Features on Injury Severity of Traffic Accidents

Chapter 7 Novel GIS-Based Model for Automatic Identification of Road Geometry in Vector Data

Chapter 8 Review of Traffic Accident Predictions with Neural Networks

Chapter 9 Modeling Traffic Accident Severity Using Neural Networks and Support Vector Machines

Chapter 10 Predicting Injury Severity of Road Traffic Accidents Using a Hybrid Extreme Gradient Boosting and Deep Neural Network Approach

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