Automated road segment creation process : a report on research sponsored by SaferSim.

Noyce, David A.; Chitturi, Madhav V.; Santiago-Chaparro, Kelvin R.

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Automated road segment creation process : a report on research sponsored by SaferSim.

2016-08-01
By Noyce, David A. ; Chitturi, Madhav V. ; Santiago-Chaparro, Kelvin R.

File Language:

English

Details

Creators:

Noyce, David A. ; Chitturi, Madhav V. ; Santiago-Chaparro, Kelvin R.
Corporate Creators:

University of Wisconsin--Madison. Traffic Operations and Safety Laboratory
Corporate Contributors:

Safety Research Using Simulation (SAFER-SIM) University Transportation Center
Subject/TRT Terms:
Resource Type:

Tech Report
Geographical Coverage:

United States
Corporate Publisher:

Safety Research Using Simulation (SAFER-SIM) University Transportation Center
Abstract:

This report provides a summary of a set of tools that can be used to automate the process ; of generating roadway surfaces from alignment and texture information. The tools developed ; were created in Python 3.x and rely on the availability of two data sources: roadway alignment ; in CAD format and a roadway texture in an image format. The goal behind the creation of the ; tools is simplifying the model creation process by making it feasible to end users of driving ; simulators to create roads without the need to necessarily understand 3d modelling. The tools ; presented can be used to study curve behavior and general alignment characteristics in a ; driving simulator. Furthermore, the tools presented provides a bridge that can greatly simplify ; the process of sharing models between different driving simulator platforms. For example, ; models produced by the tools were shared with users of the MiniSim platform which in turn ; managed to run the same geometry on their platform by importing the model into their scenario ; authoring tools.
Format:

PDF
Download URL:

https://rosap.ntl.bts.gov/view/dot/31637/dot_31637_DS1.pdf
File Type:

[PDF - 2.71 MB]
Collection(s):

University Transportation Centers ; US Transportation Collection
Main Document Checksum:

urn:sha-512:2be4a3f1fcbd121e0815c1b5e61f547747753110c9d4516c832492d5c7117e89a02b85090cdfc71aa593ed85a2cdfdb65736f219b459b79fcf708541698c65c8

File Language:

English

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