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Title:

Impacts of Automated Truck Platoons on Travel Time and Reliability at Freeway Diverge Areas

Accession Number:

01630324

Record Type:

Component

Abstract:

This paper assesses the impacts on travel time and travel time reliability associated with the operation of autonomous truck platoons (ATPs) at freeway diverge areas. ATPs are groups of multiple trucks traveling close behind each other employing automation technologies, which allows them to maintain small gaps that would be unsafe and inconvenient for human drivers. ATP technologies are mature, and commercial deployments are expected in the next few years (earlier than autonomous passenger cars). However, there is insufficient information about the impacts that ATPs will generate on the traffic stream, especially around exit lanes. This paper proposes an interdisciplinary framework to integrate ATPs into a microscopic traffic simulator. A combinatorial experiment is performed to test the impact of four experimental variables on travel time and reliability, i.e., (i) traffic volume projections, (ii) ATP penetration rates, (iii) ATP sizes, and (iv) ATP gaps. Two performance metrics are employed and statistically tested to quantify the impact of these variables on (a) though- and (b) divergent-traffic. Numerical results demonstrate the significance and impact of experimental variables on travel time and reliability.

Supplemental Notes:

This paper was sponsored by TRB committee AT045 Standing Committee on Intermodal Freight Transport.

Monograph Accession #:

01618707

Report/Paper Numbers:

17-06470

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Mesa-Arango, Rodrigo
Fabregas, Aldo

Pagination:

14p

Publication Date:

2017

Conference:

Transportation Research Board 96th Annual Meeting

Location: Washington DC, United States
Date: 2017-1-8 to 2017-1-12
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; Tables

Subject Areas:

Data and Information Technology; Freight Transportation; Highways; Motor Carriers; Operations and Traffic Management; Planning and Forecasting

Source Data:

Transportation Research Board Annual Meeting 2017 Paper #17-06470

Files:

TRIS, TRB, ATRI

Created Date:

Dec 8 2016 12:38PM