Rail-Highway Crossing Resource Allocation Model

Farr, Edwin H.; John A. Volpe National Transportation Systems Center, (U.S.)

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Rail-Highway Crossing Resource Allocation Model

1981-04-01
By Farr, Edwin H.

[PDF-1.98 MB]

English

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Details:

Creators:

Farr, Edwin H.
Corporate Creators:

John A. Volpe National Transportation Systems Center, (U.S.)
Corporate Contributors:

United States. Federal Railroad Administration
Subject/TRT Terms:

[+]

Accident Rates Algorithms Benefit Cost Analysis Cost Allocation Decision Making Forecasting Highways Intersections Mathematical Models Natural Resources Optimization Prevention Railroad Grade Crossings Railroads Resource Allocation Safety Strategic Planning Traffic Safety Warning Systems
Publication/ Report Number:

DOT-TSC-FRA-80-20 ; FRA-RRS-81-001

DOT-TSC-FRA-80-20 ; FRA-RRS-81-001 Less -
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final report
Corporate Publisher:

United States. Federal Railroad Administration
NTL Classification:

AGR-SAFETY AND SECURITY-SAFETY AND SECURITY;AGR-INFRASTRUCTURE-Railroads;AGR-INFRASTRUCTURE-INFRASTRUCTURE;NTL-RAIL TRANSPORTATION-Railroad Highway Grade Crossings;NTL-RAIL TRANSPORTATION-Rail Safety;NTL-RAIL TRANSPORTATION-Rail Economics and Finance;NTL-SAFETY AND SECURITY-SAFETY AND SECURITY;NTL-SAFETY AND SECURITY-Rail Safety;NTL-SAFETY AND SECURITY-Highway Safety;
Abstract:

This report describes a methodology developed at the Transportation Systems Center for the Federal Railroad Administration and the Federal Highway Administration to aid in determining the most effective allocation of funds to improve safety at rail-highway crossings. One way to improve safety is to install active motorist warning devices at the crossings. However, since available funds are insufficient to provide an active warning device at all of the 216,000 public rail-highway crossings in the United States, a method has been developed for selectively allocating these funds in a optimal way. The resource allocation model employs an accident prediction formula which was determined statistically from the extensive data base of the DOT-AAR National Rail-Highway Crossing Inventory and the FRA accident files. The predicted accident rates from this formula, combined with the warning system effectiveness and cost parameters, provide a funding priority ranking of crossing/warning device combination options which are based upon benefit/cost ratios. By selecting from this list, decisions can be made which should increase the accident reduction benefits for any given funding level.
Format:

PDF
Funding:

RR133/R1305
Collection(s):

Volpe Center
Main Document Checksum:

[+]

urn:sha256:d80fe506ff8dc175e96a3394049094f7cce7dd41abfb6929760b505f201681eb
Download URL:

https://rosap.ntl.bts.gov/view/dot/11160/dot_11160_DS1.pdf
File Type:

No Additional Files

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Rail-Highway Crossing Resource Allocation Model

Details:

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