Minimizing Truck-Car Conflicts on Highways [Technical Summary]

Peeta, Srinivas

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Minimizing Truck-Car Conflicts on Highways [Technical Summary]

2004-09-01
By Peeta, Srinivas

File Language:

English

Details

Creators:

Peeta, Srinivas
Corporate Creators:

Purdue University. Joint Transportation Research Program
Corporate Contributors:

Indiana Department of Transportation ; United States. Department of Transportation. Federal Highway Administration
Subject/TRT Terms:
Publication/ Report Number:

FHWA/IN/JTRP-200416
Resource Type:

Brief
Geographical Coverage:

United States ; Indiana
Edition:

Technical Summary
Corporate Publisher:

Purdue University. Joint Transportation Research Program
Abstract:

In this study, a fuzzy logic-based modeling framework is proposed to capture car-truck interactions from a non-truck driver perspective using measurable variables. This is done by introducing the notion of “discomfort” in the vicinity of trucks and using it to extend existing microscopic traffic flow modeling logic. A new parameter called driver discomfort level is proposed to incorporate the various factors that affect individual driver actions/interactions in this regard. Further, it is important to characterize the effects of these interactions at a system level to address real-world problems. Hence, there is a need to benchmark alternative mitigation strategies from the perspective of driver discomfort in addition to system performance and safety. Alternative supply-side strategies to mitigate car-truck interactions on freeways are identified and evaluated using an agent-based simulation platform. Insights are obtained using a case study involving the Borman Expressway (I-80/94) in northwest Indiana.
Format:

PDF
Funding:

SPR-2639
Download URL:

https://rosap.ntl.bts.gov/view/dot/90693/dot_90693_DS1.pdf
File Type:

[PDF - 33.80 KB]
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha-512:a4943759d8ce0d5610c2958507c69c59ee81ce77e695c5d7c9b370cb9daafa31de98cca680bcc17cdd80e336aed64287946ae3654139d57422077c8e51875fcc

File Language:

English

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