Matching Items (6)
Description
Through the advancement of technology, social media, and the ever-growing connectedness society has with the digital world, the automotive industry’s market paradigm has been uprooted and turned onto its head. There is a race globally for the first company to achieve a truly autonomous vehicle, and one of the major testing grounds is in the very state of Arizona. The technology is still under development, and there are many challenges and snags, like necessary big data, companies are encountering along the way. A smart city could share the necessary level of data with driverless vehicles, and through the back and forth communication of cars and cities could bring in that level of context and understanding needed to bring the promise of safer driving to life. Currently, companies are tight-lipped and keep to themselves on their research and development, so governments are struggling to manage the upcoming changes with such little information. The challenge is how to deal with the newly emerging inventions which managers have not figured out yet, as far as autonomous cars are concerned. This thesis covers the difficulties governments and companies will face when attempting to adopt driverless cars and smart cities into their infrastructure; public approval, legislation, infrastructure reforms, and communication between municipals and corporations. Through a survey conducted specifically for this thesis, interviews with government officials and corporate managers, and additional research, this thesis provides clearer insights on the situation and provides recommendations for managers and governments alike.
ContributorsStone, Mindi (Author) / Lynch, Patrick (Thesis director) / Nelson, Roy C. (Committee member) / Thunderbird School of Global Management (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
For autonomous vehicles, intelligent autonomous intersection management will be required for safe and efficient operation. In order to achieve safe operation despite uncertainties in vehicle trajectory, intersection management techniques must consider a safety buffer around the vehicles. For truly safe operation, an extra buffer space should be added to account for the network and computational delay caused by communication with the Intersection Manager (IM). However, modeling the worst-case computation and network delay as additional buffer around the vehicle degrades the throughput of the intersection. To avoid this problem, AIM, a popular state-of-the-art IM, adopts a query-based approach in which the vehicle requests to enter at a certain arrival time dictated by its current velocity and distance to the intersection, and the IM replies yes
o. Although this solution does not degrade the position uncertainty, it ultimately results in poor intersection throughput. We present Crossroads, a time-sensitive programming method to program the interface of a vehicle and the IM. Without requiring additional buffer to account for the effect of network and computational delay, Crossroads enables efficient intersection management. Test results on a 1/10 scale model of intersection using TRAXXAS RC cars demonstrates that our Crossroads approach obviates the need for large buffers to accommodate for the network and computation delay, and can reduce the average wait time for the vehicles at a single-lane intersection by 24%. To compare Crossroads with previous approaches, we perform extensive Matlab simulations, and find that Crossroads achieves on average 1.62X higher throughput than a simple VT-IM with extra safety buffer, and 1.36X better than AIM.
o. Although this solution does not degrade the position uncertainty, it ultimately results in poor intersection throughput. We present Crossroads, a time-sensitive programming method to program the interface of a vehicle and the IM. Without requiring additional buffer to account for the effect of network and computational delay, Crossroads enables efficient intersection management. Test results on a 1/10 scale model of intersection using TRAXXAS RC cars demonstrates that our Crossroads approach obviates the need for large buffers to accommodate for the network and computation delay, and can reduce the average wait time for the vehicles at a single-lane intersection by 24%. To compare Crossroads with previous approaches, we perform extensive Matlab simulations, and find that Crossroads achieves on average 1.62X higher throughput than a simple VT-IM with extra safety buffer, and 1.36X better than AIM.
ContributorsAndert, Edward (Author) / Shrivastava, Aviral (Thesis advisor) / Fainekos, Georgios (Committee member) / Ben Amor, Hani (Committee member) / Arizona State University (Publisher)
Created2017
Description
Cancer is one of the leading causes of death in the world and represents a tremendous burden on patients, families and societies. S. Typhimurium strains are specifically attracted to compounds produced by cancer cells and could overcome the traditional therapeutic barrier. However, a major problem with using live attenuated Salmonella as anti-cancer agents is their toxicity at the dose required for therapeutic efficacy, but reducing the dose results in diminished efficacy. In this project, we explored novel means to reduce the toxicity of the recombinant attenuated Salmonella by genetically engineering those virulence factors to facilitate maximal colonization of tumor tissues and reduced fitness in normal tissues. We have constructed two sets of Salmonella strains. In the first set, each targeted gene was knocked out by deletion of the gene. In the second set, the predicted promoter region of each gene was replaced with a rhamnose-regulated promoter, which will cease the synthesis of these genes in vivo, a rhamnose-free environment.
ContributorsBenson, Lee Samuel (Author) / Kong, Wei (Thesis director) / Martin, Thomas (Committee member) / Lake, Douglas (Committee member) / Barrett, The Honors College (Contributor) / Department of Psychology (Contributor) / Center for Infectious Diseases and Vaccinology (Contributor) / School of Life Sciences (Contributor)
Created2013-05
Description
With the growth of autonomous vehicles’ prevalence, it is important to understand the relationship between autonomous vehicles and the other drivers around them. More specifically, how does one’s knowledge about autonomous vehicles (AV) affect positive and negative affect towards driving in their presence? Furthermore, how does trust of autonomous vehicles correlate with those emotions? These questions were addressed by conducting a survey to measure participant’s positive affect, negative affect, and trust when driving in the presence of autonomous vehicles. Participants’ were issued a pretest measuring existing knowledge of autonomous vehicles, followed by measures of affect and trust. After completing this pre-test portion of the study, participants were given information about how autonomous vehicles work, and were then presented with a posttest identical to the pretest. The educational intervention had no effect on positive or negative affect, though there was a positive relationship between positive affect and trust and a negative relationship between negative affect and trust. These findings will be used to inform future research endeavors researching trust and autonomous vehicles using a test bed developed at Arizona State University. This test bed allows for researchers to examine the behavior of multiple participants at the same time and include autonomous vehicles in studies.
ContributorsMartin, Sterling (Author) / Cooke, Nancy J. (Thesis advisor) / Chiou, Erin (Committee member) / Gray, Robert (Committee member) / Arizona State University (Publisher)
Created2019
Description
Today’s electric vehicle market is growing at high rates but unaware consumers present a risk to the future success of electric vehicles (EVs). Over the coming years electric vehicles will take over the automotive industry. Consumers will need to become more educated in order to keep up with the rise and adoption of electric vehicles. Automotive companies will play a large part in this future of education for electric vehicles.
This paper uses various studies and my own personal study from my summer internship with Ford Motor Company to determine the biggest consumer fears, challenging them and how automotive companies can combat them. In my opinion, the biggest consumer fears for electric vehicles are range anxiety, lack of a charging network, high initial purchase prices, battery replacement costs and lack of appealing options. Consumers who are not interested in EVs, are interested or just looking have fears that can come from opinions or others opinions. These fears can easily change through factual points.
I have included numerous studies that combat these fears and show the truth of each category. In each category I have used studies that point out reasons why these fears are nothing to worry about. Consumers need to learn these fears can be easily changed and that is what this section aims to do.
Automotive companies will have to play a large part in this educational piece. My paper outlines what they need to do in order to succeed in the future. A major part will be dealer engagement. Dealerships represent the face of the company and if they are unwilling or cannot sell EVs, then electric vehicles will not succeed.
Finally, I provide my personal thoughts on the future of the electric vehicle market and what is holding high adoption rates of EVs back.
This paper uses various studies and my own personal study from my summer internship with Ford Motor Company to determine the biggest consumer fears, challenging them and how automotive companies can combat them. In my opinion, the biggest consumer fears for electric vehicles are range anxiety, lack of a charging network, high initial purchase prices, battery replacement costs and lack of appealing options. Consumers who are not interested in EVs, are interested or just looking have fears that can come from opinions or others opinions. These fears can easily change through factual points.
I have included numerous studies that combat these fears and show the truth of each category. In each category I have used studies that point out reasons why these fears are nothing to worry about. Consumers need to learn these fears can be easily changed and that is what this section aims to do.
Automotive companies will have to play a large part in this educational piece. My paper outlines what they need to do in order to succeed in the future. A major part will be dealer engagement. Dealerships represent the face of the company and if they are unwilling or cannot sell EVs, then electric vehicles will not succeed.
Finally, I provide my personal thoughts on the future of the electric vehicle market and what is holding high adoption rates of EVs back.
ContributorsTisch, Zachary Daniel (Author) / Sully de Luque, Mary (Thesis director) / Tuzzolino, Frank (Committee member) / Thunderbird School of Global Management (Contributor) / Department of Marketing (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
This report discusses the trade-offs of electric vehicles at both the macro-level and the consumer-level. The idea of this project is to address the factors that will affect many people, which are the macro-level trade-offs. Consumer-level trade-offs will address the concerns that individual consumers have when buying a car. The macro-level trade-offs that are discussed include batteries versus engines, increased weight, and strain on the power grid. Consumer-level trade-offs include price, maintenance, cost of ownership, and safety. Electric cars are the future, and although the report points out a lot of potential issues, it is not meant to detract from the adoption of electric vehicles. There are so many possibilities regarding the future of the car industry and there is a lot to look forward to despite the current and future issues that will be encountered.
ContributorsNewcomb, Matthew (Author) / Carter, Craig (Thesis director) / Arrfelt, Mathias (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor)
Created2022-12