Benefit

Iowa DOT estimates that AV adoption could increase freeway lane capacity up to 26 percent on I-80.

A micro-simulation model (VISSIM) was used to estimate the impacts of automated vehicles (AV) across a range of adoption rates.


January 2018
Iowa,United States


Summary Information

The Iowa Department of Transportation performed an analysis to understand the future of automated vehicle (AV) adoption, and how such vehicles may be accounted for in the agency’s vision of the I-80 corridor. Researchers examined a range of scenarios for future AV adoption rates and considered how the benefits of AVs could be incorporated into future-facing designs for I-80. The overall intent was to allow the design to be flexible for a broad range of potential AV futures, while still meeting the corridor's needs in the present day. The researchers also performed analyses of how traffic capacity, road safety, and travel time would be affected by different proportions of AV adoption. The analyses were performed using a VISSIM traffic micro-simulation model, incorporating both the specific patterns of the I-80 corridor and the particular abilities enabled by V2I technologies.

FINDINGS

At a 85 percent AV adoption rate, the capacity of a single freeway lane was projected to raise by 26 percent, to 3,000 vehicles per hour. Additionally, the demand-to-capacity ratio was found to significantly decrease to 0.51 for eastbound lanes and 0.45 for westbound lanes, compared to the current ratios of 0.65 and 0.58, respectively.

Benefit Comments

No comments posted to date

Comment on this Benefit

To comment on this summary, fill in the information below and click on submit. An asterisk (*) indicates a required field. Your name and email address, if provided, will not be posted, but are to contact you, if needed to clarify your comments.



Source

Interstate 80 Automated Corridor

Author: Marler, Scott et al.

Published By: Transportation Research Board

Source Date: January 2018


Rating

Average User Rating

0 ( ratings)

Rate this Benefit

(click stars to rate)


Benefit ID: 2018-01301