TRB Pubsindex
Text Size:

Title:

Development and Evaluation of Enhanced IntelliDrive-Enabled Lane Changing Advisory Algorithm to Address Freeway Merge Conflict

Accession Number:

01336681

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States
Order URL: http://www.trb.org/Main/Blurbs/166523.aspx

Find a library where document is available


Order URL: http://worldcat.org/isbn/9780309167635

Abstract:

Freeway merge conflicts contribute significantly to freeway congestion. With the capabilities that will be available in an IntelliDrive environment, which enables vehicle-to-vehicle and vehicle-to-infrastructure communications, new approaches to managing freeway merges are possible. In this paper, an enhanced IntelliDrive enabled lane changing advisory algorithm was developed with a variable gap size concept. This algorithm first calculates anticipated lead–lag gap sizes with the equations of motion prepared for a car and a truck and for three vehicle dynamics (accelerating, maintaining current speed, and decelerating). The algorithm then provides lane changing advisories to freeway main-line vehicles (selected on the basis of the calculated variable gap sizes) to create more space within the ramp merging area. Evaluation conducted with a VISSIM microscopic traffic simulation model of a freeway network in Virginia showed that the proposed algorithm has the potential to address freeway merge conflicts. The maximum operational improvement observed was 6.4% higher average speed in the freeway main line within a merge area. Up to a 5.2% reduction in emissions was achieved. Further analysis conducted in terms of the sensitivity of algorithm performance to driver compliance rates suggested that a very high compliance rate (90% or higher) was necessary for the proposed algorithm to work as intended.

Monograph Accession #:

01362318

Report/Paper Numbers:

11-2854

Language:

English

Authors:

Park, Hyungjun
Bhamidipati, Chiranjivi Sarma
Smith, Brian Lee

Pagination:

pp 146-157

Publication Date:

2011

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2243
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309167635

Media Type:

Print

Features:

Figures (11) ; References (13) ; Tables (2)

Geographic Terms:

Subject Areas:

Data and Information Technology; Highways; Operations and Traffic Management; I73: Traffic Control

Files:

TRIS, TRB, ATRI

Created Date:

Feb 17 2011 6:19PM

More Articles from this Serial Issue: