AASHTO Highway Safety Manual
E122321
The AASHTO Highway Safety Manual is a foundational reference that provides data-driven methods and tools for predicting, evaluating, and improving roadway safety performance in transportation engineering and planning.
All labels observed (1)
| Label | Occurrences |
|---|---|
| AASHTO Highway Safety Manual canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T1006579 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AASHTO Highway Safety Manual Context triple: [American Association of State Highway and Transportation Officials, publishes, AASHTO Highway Safety Manual]
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A.
AASHTO Green Book
The AASHTO Green Book is a widely used design manual that sets geometric design standards and guidelines for roads and highways in the United States.
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B.
Highway Safety Improvement Program guidance
Highway Safety Improvement Program guidance is a set of federal guidelines and best practices that help transportation agencies plan, implement, and evaluate roadway safety improvements to reduce traffic fatalities and serious injuries.
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C.
A Policy on Geometric Design of Highways and Streets
A Policy on Geometric Design of Highways and Streets is a key engineering reference manual that sets widely used standards and guidelines for the geometric design of roads and streets in the United States.
-
D.
Manual on Uniform Traffic Control Devices
The Manual on Uniform Traffic Control Devices is the United States’ national standard that defines the design and use of road signs, signals, and pavement markings to ensure consistent and safe traffic control across the country.
-
E.
National Cooperative Highway Research Program
The National Cooperative Highway Research Program is a U.S. research initiative that develops practical, implementable solutions to improve the design, construction, operation, and maintenance of the nation’s highways.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AASHTO Highway Safety Manual Target entity description: The AASHTO Highway Safety Manual is a foundational reference that provides data-driven methods and tools for predicting, evaluating, and improving roadway safety performance in transportation engineering and planning.
-
A.
AASHTO Green Book
The AASHTO Green Book is a widely used design manual that sets geometric design standards and guidelines for roads and highways in the United States.
-
B.
Highway Safety Improvement Program guidance
Highway Safety Improvement Program guidance is a set of federal guidelines and best practices that help transportation agencies plan, implement, and evaluate roadway safety improvements to reduce traffic fatalities and serious injuries.
-
C.
A Policy on Geometric Design of Highways and Streets
A Policy on Geometric Design of Highways and Streets is a key engineering reference manual that sets widely used standards and guidelines for the geometric design of roads and streets in the United States.
-
D.
Manual on Uniform Traffic Control Devices
The Manual on Uniform Traffic Control Devices is the United States’ national standard that defines the design and use of road signs, signals, and pavement markings to ensure consistent and safe traffic control across the country.
-
E.
National Cooperative Highway Research Program
The National Cooperative Highway Research Program is a U.S. research initiative that develops practical, implementable solutions to improve the design, construction, operation, and maintenance of the nation’s highways.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
engineering manual
ⓘ
roadway safety guideline ⓘ technical standard ⓘ |
| appliesTo |
freeways
ⓘ
intersections ⓘ rural highways ⓘ urban and suburban arterials ⓘ |
| approach |
evidence-based safety analysis
ⓘ
quantitative risk-based evaluation ⓘ |
| author | American Association of State Highway and Transportation Officials ⓘ |
| countryOfOrigin |
United States of America
ⓘ
surface form:
United States
|
| field |
highway engineering
ⓘ
traffic safety ⓘ transportation engineering ⓘ transportation planning ⓘ |
| focusesOn |
crash modification factors
ⓘ
crash prediction methods ⓘ operational safety analysis ⓘ predictive safety performance models ⓘ quantitative safety analysis ⓘ roadway design safety evaluation ⓘ safety performance functions ⓘ |
| hasComponent |
crash modification factor development and application guidance
ⓘ
predictive methods for freeways and ramps ⓘ predictive methods for multilane rural highways ⓘ predictive methods for rural two-lane roads ⓘ predictive methods for urban and suburban arterials ⓘ safety management process guidance ⓘ |
| language | English ⓘ |
| publisher | American Association of State Highway and Transportation Officials ⓘ |
| purpose |
provide data-driven methods for predicting roadway safety performance
ⓘ
provide tools for evaluating roadway safety performance ⓘ support improvement of roadway safety performance ⓘ |
| relatedTo |
AASHTO Green Book
ⓘ
Highway Capacity Manual ⓘ |
| supports |
performance-based safety decision making
ⓘ
strategic highway safety planning ⓘ systemic safety analysis ⓘ |
| usedBy |
highway agencies
ⓘ
traffic safety analysts ⓘ transportation engineers ⓘ transportation planners ⓘ |
| usedFor |
countermeasure evaluation
ⓘ
diagnosis of safety problems ⓘ economic appraisal of safety improvements ⓘ network screening ⓘ project-level safety analysis ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: AASHTO Highway Safety Manual Description of subject: The AASHTO Highway Safety Manual is a foundational reference that provides data-driven methods and tools for predicting, evaluating, and improving roadway safety performance in transportation engineering and planning.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
American Association of State Highway and Transportation Officials
→
publishes
→
AASHTO Highway Safety Manual
ⓘ