ROCA - ROad Curvature Analyst

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44994575%3A_____%2F18%3AN0000036" target="_blank" >RIV/44994575:_____/18:N0000036 - isvavai.cz</a>

Result on the web

<a href="https://roca.cdvinfo.cz/" target="_blank" >https://roca.cdvinfo.cz/</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

ROCA - ROad Curvature Analyst

Original language description

ROCA (Road Curvature Analyst) it a toolbox for ArcGIS for automatic identification of road geometry from digital vector data. The method is capable of efficiently identifying circular curves with their radii and tangents (straight sections), which are the results of ROCA as line features. You can also calculate curvature attributes (Average Deflection Angle, Detour ratio and the Number of turns) for each input line features as new attributes.

Czech name

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Czech description

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Type

R - Software

CEP classification

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OECD FORD branch

10700 - Other natural sciences

Project

<a href="/en/project/ED2.1.00%2F03.0064" target="_blank" >ED2.1.00/03.0064: Transport R&D Centre</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2018

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Internal product ID

ROCA toolbox

Technical parameters

ROCA toolbox je naprogramován v jazyce Python jako uživatelský nástroj komerčního softwaru ESRI ArcGIS. Vstupní parametry nástroje jsou následující: 1. Input line feature class (of roads, railroads, rivers, etc.) for automatic identification of geometry. 2. Input training data file with predefined road geometry (curve = 1, tangent = 0) for all vertices of training lines with their spatial coordinates. 3. Name of new attribute field with identifier number (ID) of line features. 4. Value of maximal radius of curve (in meters). Geometries with a higher radius will be classified as straight sections. 5. Value of minimal feasible radius of curve (in meters). A warning with the number and total length of curves with a lower radius will be generated in the final report message. 6. Tolerance of Douglas‐Peucker generalization algorithm for simplification of lines (in meters). It removes redundant vertices. 7. Calculation of Average Deflection Angle (ADA), Detour ratio (DR) and the Number of turns (Turns) as new attribute fields of the input line feature class. Výstupní parametr: The line feature class of ROCA geometries to be created. Each ROCA geometry section (curve or straight) obtains the following attribute information: ID of line – user‐defined ID of the line (road) feature from which the ROCA geometry is calculated Radius – radius of circular curve representing ROCA geometry (0 for straight section) X_center – X coordinate of the center of the circular curve representing ROCA geometry (0 for straight section) Y_center – Y coordinate of the center of the circular curve representing ROCA geometry (0 for straight section) G_type – type of ROCA geometry (0 for straight section, 1 for curve) Azimuth – azimuth angle for tangent geometries (aspect orientation of tangents to the north from 0 to 360 degrees) Length – length of ROCA geometry (in meters) Limitations: The average error of identification ranged from 0.01 % to 1.30 % for the precisely drawn data and accounted for 4.81 % when applied to the actual road data which were influenced by noise in the location of the respective vertices. The results demonstrate that the proposed method is faster and more precise than commonly used techniques. This approach shall be used by road administrators to complete their databases with information concerning the geometry of roads. It can also be utilized by transport engineers or traffic safety analysts to investigate the possible dependence of traffic crashes on road geometries. The application of the method is not, however, restricted to road infrastructure data exclusively.

Economical parameters

ROCA toolbox je licencován pod Creative Commons Attribution‐NonCommercial‐NoDerivatives 4.0 International License.

Owner IČO

44994575

Owner name

Centrum dopravního výzkumu, v. v. i.