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Full-Text Articles in Engineering
Exploring Potential Impacts Of Connected And Automated Vehicle Technologies, Iman Mahdinia
Exploring Potential Impacts Of Connected And Automated Vehicle Technologies, Iman Mahdinia
Doctoral Dissertations
Connected and automated vehicle technologies have the potential to significantly improve transportation system performance. In particular, advanced driver-assistance systems (ADAS), such as adaptive cruise control (ACC), cooperative adaptive cruise control (CACC), pedestrian crash prevention (PCP) system, and advanced automated collision notification (ACN) system may lead to substantial improvements in performance by decreasing driver inputs and taking over control of the vehicle. The main questions that might arise are 1) how we can quantify the potential environmental and safety impacts of these technologies and 2) what the potential for these technologies is to address some of the important transportation-related problems. Due …
A Multilevel Study Of Driving Behavior And System Performance- Harnessing Large-Scale Naturalistic Driving And Conventional Safety Data, Amin Mohammadnazar
A Multilevel Study Of Driving Behavior And System Performance- Harnessing Large-Scale Naturalistic Driving And Conventional Safety Data, Amin Mohammadnazar
Doctoral Dissertations
The performance of a transportation system highly depends on the drivers’ behavior because driving behavior is one of the main causes of traffic accidents and one of the key factors in fuel consumption and vehicle emissions studies. Specifically, the focus of this dissertation is on aggressive driving who not only put their selves and others at risk but also contribute more to greenhouse gas emissions. Recently, the development of advanced sensors, connected vehicles (CVs), location-based services (LBS) provided unprecedented access to new high-resolution microscopic-level data which can be used to evaluate and monitor instantaneous driving behavior and safety performance of …
Using Survey Data To Understand Ridesourcing In Tennessee: Who, Where, When, And Why?, Cassidy Kilmer Crossland
Using Survey Data To Understand Ridesourcing In Tennessee: Who, Where, When, And Why?, Cassidy Kilmer Crossland
Masters Theses
With companies like Uber and Lyft leading the way, ridesourcing has grown and continues to grow in popularity in the United States since its introduction just over ten years ago. While research on this new transportation mode has largely focused on national level trends and studies of large metropolitan areas, little has been written about its impacts in smaller and mid-sized cities and states. This paper aims to understand the socioeconomic characteristics and travel behavior trends of those using ridesourcing in less studied regions, using Tennessee as a case study. This thesis has three parts: a literature review of past …