Surrogate Safety Assessment Model (SSAM) : [techbrief]

Gettman, Douglas; Shelby, Steven

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Surrogate Safety Assessment Model (SSAM) : [techbrief]

2009-10-01
By Gettman, Douglas ; Shelby, Steven

File Language:

English

Details

Creators:

Gettman, Douglas ; Shelby, Steven
Corporate Creators:

United States. Department of Transportation. Federal Highway Administration. Office of Research, Development, and Technology
Contributors:

Chen, C.
Corporate Contributors:

United States. Department of Transportation. Federal Highway Administration. Turner-Fairbank Highway Research Center
Subject/TRT Terms:
Publication/ Report Number:

FHWA-HRT-10-020;HRDS-05/10-09(Web)E
Resource Type:

Tech Report
Geographical Coverage:

United States
Corporate Publisher:

United States. Federal Highway Administration. Office of Research, Development, and Technology
Abstract:

The safety of intersections, interchanges, and other traffic facilities is most often assessed by tracking and analyzing police-reported motor vehicle crashes over time. Given the infrequent and random nature of crashes, this process is slow to reveal the need for remediation of either the roadway design or the flow-control strategy. This process is also not applicable to assess the safety of roadway designs that have yet to be built or flow-control strategies that have yet to be applied in the field. ; This TechBrief summarizes the research and development of the Surrogate Safety Assessment Model (SSAM), a technique combining microsimulation and automated conflict analysis, which analyzes the frequency and character of narrowly averted vehicle-to-vehicle collisions in traffic, to assess the safety of traffic facilities without waiting for a statistically above-normal number of crashes and injuries to actually occur.
Format:

PDF
Download URL:

https://rosap.ntl.bts.gov/view/dot/38044/dot_38044_DS1.pdf
File Type:

[PDF - 225.67 KB]
Collection(s):

Federal Highway Administration
Main Document Checksum:

urn:sha-512:92f5913b0050a597903ffd45c69232d700ab1be5b3475edae189cdbf64151fa05359df2bc9e3c1f4352bf889f7bd8c7e9a3c6ad549dad29d116e57592766bc80

File Language:

English

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