Digital Commons Network^™

Truck Trailer Classification Using Side-Fire Light Detection And Ranging (Lidar) Data, Olcay Sahin

Civil & Environmental Engineering Theses & Dissertations

Classification of vehicles into distinct groups is critical for many applications, including freight and commodity flow modeling, pavement management and design, tolling, air quality monitoring, and intelligent transportation systems. The Federal Highway Administration (FHWA) developed a standardized 13-category vehicle classification ruleset, which meets the needs of many traffic data user applications. However, some applications need high-resolution data for modeling and analysis. For example, the type of commodity being carried must be known in the freight modeling framework. Unfortunately, this information is not available at the state or metropolitan level, or it is expensive to obtain from current resources.

Nevertheless, using …

Predicting The Adoption Of Connected Autonomous Vehicles By Transportation Organizations Using Peer Effects, Jesse Simpson

Electronic Theses and Dissertations

This dissertation presents and tests a methodology for predicting the adoption rate of Connected Autonomous Trucks (CATs) in transportation organizations using peer effects. There are a number of different factors that must be considered when developing innovation adoption models for organizations. This dissertation briefly describes each of the relevant variables and combines them into a discrete choice model for predicting the adoption rate of CATs by transportation organizations. The model incorporates new peer effect modeling techniques to simulate competition and the informal communication network. A stated-preference survey is conducted, and information from 400 freight transportation organizations is gathered. The survey …