Bentley Systems, Inc.

Blueridge Analytics, Inc.

Ron Breukelaar

James W Reynolds, Jr

Anthony H Watts

Michael W Detwiler

Thomas Baeck

Scott Devoe

Hans Peter Senft

Gabriel Vacarasu

Barry Mathews

Peter Senft

In example embodiments, techniques are provided for enabling use of an AI-generated TIN in generation of a 3D design model by defining site objects (e.g., pads) using multiple (e.g., three) phases (i.e. states). A conceptual phase may be associated with a conceptual data structure, a preliminary phase may be associated with the conceptual data structure and a preliminary data structure, a final phase may be associated with the conceptual data structure, the preliminary data structure, and a final data structure. If changes are made in the conceptual phase, for example, as a result of AI optimization, they may be propagated up to the preliminary data structure and final data structure via the vertical draping. Changes made in the preliminary phase or final phase may be propagated down to the conceptual data structure by treating boundaries and breaklines as spatial constraints.

Techniques for utilizing an artificial intelligence-generated tin in generation of a final 3D design model

A computer-implemented land planning system is designed to generate at least one conceptual fit solution to a user-defined land development problem. The system employs a computer readable medium and a computer program encoded on the medium. The computer program is operable, when executed on a computer, for electronically creating at least one candidate solution to the land development problem. The candidate solution incorporates a plurality of engineering measurements applicable in development of an undeveloped land site. Existing GIS data is collected for the selected undeveloped land site. A fitness function quantitatively evaluates the candidate solution based on its cost. A heuristic problem-solving strategy manipulates the engineering measurements of the candidate solution to achieve a more quantitatively fit solution to the land development problem. Documentation illustrating the fit solution to the land development problem is delivered to the user.

Computer-implemented land planning system and method with GIS integration

A computer-implemented land planning system is designed to generate at least one conceptual fit solution to a user-defined land development problem. The system electronically creates at least one candidate solution to the land development problem. The candidate solution incorporates a number of engineering measurements applicable in development of an undeveloped land site. A fitness function quantitatively evaluates the candidate solution based on its fitness. A heuristic problem-solving strategy manipulates the engineering measurements of the candidate solution to achieve a more quantitatively fit solution to the land development problem. A computer output device outputs to a user documentation illustrating the fit solution to the land development problem.

Computer-implemented land planning system and method

A computer-implemented land planning system is designed to generate at least one conceptual fit solution to a user-defined land development problem. The system employs a computer readable medium and a computer program encoded on the medium. The computer program is operable, when executed on a computer, for electronically creating at least one candidate solution to the land development problem. The candidate solution incorporates engineering measurements applicable in development of an undeveloped land site, the land site including a conceptually designed vehicle parking area. A fitness function quantitatively evaluates the candidate solution based on its cost. A heuristic problem-solving strategy manipulates the engineering measurements of the candidate solution to achieve a more quantitatively fit solution to the land development problem. Documentation illustrating the fit solution to the land development problem is delivered to the user.

Computer-implemented land planning system and method with automated parking area design tools

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Charlotte, NC, United States of America

Ron Breukelaar