Naturalistic Driving Data-Based Anomalous Driving Behavior Detection Using Hypertuned Deep Autoencoders

Fueling Alternatives: Evidence from Naturalistic Driving Data

We use naturalistic driving data to analyze the refueling behavior of drivers. The data come from a year-long study in which drivers were provided with experimental vehicles to use for seven weeks. We use data logged during the experiment to identify the time and location of refueling stops. With this dataset, we estimate a discrete choice model for the driver’s choice of refueling location. We...

Using In-vehicle Sensor Data for Naturalistic Driving Analysis

This paper addresses the problem of the usage of the in-vehicle sensor data collected in naturalistic driving conditions. Many applications in the intelligent transportation system research area require complex analysis of such data, taking account of the spatial location and the road network topology. An extended database management system using specific model for moving objects and sensor dat...

Individual Driver Risk Analysis Using Naturalistic Driving Data

Defining and screening crash surrogate events using naturalistic driving data.

Naturalistic driving studies provide an excellent opportunity to better understand crash causality and to supplement crash observations with a much larger number of near crash events. The goal of this research is the development of a set of diagnostic procedures to define, screen, and identify crash and near crash events that can be used in enhanced safety analyses. A way to better understand c...

Using GPS Data to Understand Driving Behavior