자료유형  

 학위논문

Control Number  

0016932277

International Standard Book Number  

9798380380966

Dewey Decimal Classification Number  

385

Main Entry-Personal Name  

Shetty, Akhil.

Publication, Distribution, etc. (Imprint  

[S.l.] : University of California, Berkeley., 2023

Publication, Distribution, etc. (Imprint  

Ann Arbor : ProQuest Dissertations & Theses, 2023

Physical Description  

1 online resource(145 p.)

General Note  

Source: Dissertations Abstracts International, Volume: 85-03, Section: B.

General Note  

Advisor: Poolla, Kameshwar.

Dissertation Note  

Thesis (Ph.D.)--University of California, Berkeley, 2023.

Restrictions on Access Note  

This item must not be sold to any third party vendors.

Summary, Etc.  

요약Transportation systems are the backbone of our modern economy. The ease of urban mobility is crucial for the success of cities. The automobile, which revolutionized urban mobility in the 20th century, is now struggling to keep up with demands for safety, efficiency, and equity. With more than 36,000 lives lost annually to traffic crashes in the US, and the average American spending 97 hours every year stuck in traffic, there is an imminent need for innovative solutions.Two recent technologies show promise in delivering the next leap in urban mobility: (a) transportation network services, and (b) automated vehicles. Transportation network services (TNS) are businesses that connect people spread across the transportation network for efficient provision of goods and services. Examples include ride-hailing services such as Uber, and delivery services such as Instacart. Automated vehicles (AVs), popularly known as self-driving cars, obviate the need for a human to be in the driver's seat. The combination of AVs and TNS is expected to significantly reduce traffic fatalities, alleviate congestion, and improve accessibility.Despite their transformative potential, the path to a bright AV-TNS future of urban mobility seems unclear. Companies have realized after years of effort that designing safe AVs is much more difficult than originally anticipated. Recent studies have found that TNS companies have increased congestion in major US cities. Moreover, a significant proportion of TNS workers are unable to earn the prevailing minimum wage in their jurisdictions. This thesis is an attempt to understand why the promised AV-TNS future has remained elusive.We explore two broad themes along this path: (a) economics of transportation network services, and (b) automated vehicle safety. Our work on these themes constitute the two halves of this thesis. In the first half, we introduce a unified framework to analyze the economics of transportation network services. Using this framework, we analyze the impact of recent labor regulations on the ride-hailing ecosystem and suggest alternatives that can achieve better outcomes. Adapting this framework to the case of delivery services, we demonstrate how the trade-off between delivery times and the cost of delivery, mediated by the extent of order pooling, dictates their economic viability. In the second half, we use a combination of theoretical models and empirical data to argue why connectivity is indispensable for safe AV deployment. Recognizing that some crashes are inevitable without connectivity, we propose a risk assessment framework that leverages human driving data along with on-road AV testing data to develop insights into their safety capabilities. We discuss several applications of this framework that inform safe AV deployment.

Subject Added Entry-Topical Term  

Transportation.

Subject Added Entry-Topical Term  

Computer science.

Subject Added Entry-Topical Term  

Electrical engineering.

Index Term-Uncontrolled  

Automated vehicles

Index Term-Uncontrolled  

Delivery platforms

Index Term-Uncontrolled  

Ride-hailing

Index Term-Uncontrolled  

Traffic safety

Index Term-Uncontrolled  

Transportation economics

Added Entry-Corporate Name  

University of California, Berkeley Electrical Engineering & Computer Sciences

Host Item Entry  

Dissertations Abstracts International. 85-03B.

Host Item Entry  

Dissertation Abstract International

Electronic Location and Access  

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Control Number  

joongbu:641807