University of Illinois at Chicago
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CONLON-THESIS-2018.pdf (2.5 MB)

Modeling Impact of Autonomous Vehicles at Network Level

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posted on 2018-11-27, 00:00 authored by James P Conlon
This study attempts to quantify the change in emissions resulting from autonomous vehicles (AVs). Three different scopes are defined for AVs and emission quantities are estimated using both established and theoretical methods. AVs show potential to reduce total emissions at all three scopes, with measurements varying from 3.0-14.5% in reduction depending on varying assumptions. Main findings were that this reduction is not negligible, is sensitive to traffic demand, and greatest at full market penetration. It was also found that lower market penetration may generate a greater inventory of total vehicle emissions, contrary to popular thought.

History

Advisor

Lin, Jie (Jane)

Chair

Lin, Jie (Jane)

Department

Civil and Materials Engineering

Degree Grantor

University of Illinois at Chicago

Degree Level

  • Masters

Committee Member

Zou, Bo Derrible, Sybil

Submitted date

August 2018

Issue date

2018-07-09

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