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 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

Chapter 12 Forecasting Severity of Motorcycle Crashes Using Transfer Learning