DC Autonomous Vehicles Study Final Report

Bowser, Muriel

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DC Autonomous Vehicles Study Final Report

2020-04-07
By Bowser, Muriel

File Language:

English

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Alternative Title:

DC AV Study Final Report
Creators:

Bowser, Muriel
Corporate Creators:

AECOM
Contributors:

Marootian, Jeff
Corporate Contributors:

District of Columbia. Dept. of Transportation
Subject/TRT Terms:

Autonomous Vehicles Budgeting Equity Fleet Management Performance Evaluations Policy Shared Mobility Technology Traffic Congestion Trajectory Control Transit Riders Transportation Vehicle Miles Of Travel Vulnerable Road Users
Resource Type:

Tech Report
Geographical Coverage:

United States ; Washington (District of Columbia)
Corporate Publisher:

District of Columbia. Dept. of Transportation
Abstract:

This report used a scenario-planning approach to develop and analyze the range of potential effects that autonomous vehicles will have on the District and the region in the future. Among many things, the results show that this transportation technology can be used to advance the District’s economic growth and aid our housing affordability issues and mobility challenges for vulnerable populations. That being said, the study finds that under all plausible scenarios of autonomous vehicle adoption and deployment, vehicle miles traveled, or VMT, in the District will increase. An increase in VMT equals an increase in congestion. The study forecasts that the additional VMT in the future will be generated by individuals who were previously traveling by other modes now traveling by autonomous vehicle and empty vehicles relocating themselves. To mitigate this rise in VMT and increased congestion, the study recommends interventions and incentives to support shared rides and alternative modes of transportation. This report is the first step to understanding the prospective adoption trajectories of autonomous vehicle technology and the effects of each adoption scenario on the District’s transit network. This study will help shape the transportation policies that may be considered in the future to best prepare for these challenges.
Format:

PDF
Collection(s):

Autonomous Vehicles
Main Document Checksum:

urn:sha-512:55d6fdb148b58fa46ee46a672cc962ec2046e701277c1d33bb3b5145c66c7dde2fc6f82454659897658098057de75beede76527ce9e283bc9b260cb88427f341
Download URL:

https://rosap.ntl.bts.gov/view/dot/88382/dot_88382_DS1.pdf
File Type:

[PDF - 13.45 MB ]

File Language:

English

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