Providing Global GIS Solutions

Digital Engineering GIS Corporation
Planning
Complex Intersection Designs
in Urban Networks
Give our Infrastructure Model a Test Run . . .
We invite traffic engineers, urban designers, and transportation professionals to participate in an applied evaluation of the Urban Network Systems Architecture (UNSA). Please submit a brief description of one of your most challenging traffic conditions, along with the geographic coordinates of a critical intersection or corridor in your city.
Our team will apply the UNSA model to the surrounding network and return a data-driven analysis that includes proposed node optimizations, network adjustments, and performance outcomes.
Urban Analysis & DNA-Prototyping:
Blocks and Cells Topology in Traffic Networks
Our Model
Digital's Network Optimization Tool provides a comprehensive, advanced view of traffic patterns in urban areas. Our Model's algorithms enable us to accurately predict driver behavior in designated congestion zones, ranging from local residential streets to highways.
Digital can provide valuable insights into urban design and traffic management solutions for your city. Our planning tool uses a new and innovative approach called concentrated progression. This method arranges multiple time points in a circular, concentric pattern, moving from high-density urban centers outward into the suburbs.
Our Directionality Error Detection Tool enables us to analyze traffic flow in downtown areas to identify gridlock and delays. Our Model's scientific precision ensures that our recommendations are exceptionally accurate while avoiding negative impacts on ad
How it works
Our model creates optimized flow in existing networks by answering three key questions with scientific accuracy:
1. Which street segments might be redirected?
2. Which two-way street segments should be converted to one-way traffic, and in which direction?
3. Which one-way street segment should be changed to two-way?
After years of research, we’ve created a tool that can be used worldwide in any city and traffic network. We have the answers and are excited to share them with you. We’re amazed by our findings and believe you will be too.

