Geodatabase Design
Transportation and Linear Networks
Model and solve routing, logistics, and other transportation/network issues
Related Case Studies
- Farallon Helps Caltrans Improve Accuracy of States County Route Postmile System
- Integrating MDOT’s business data with its geographic data using Oracle Spatial
- California Department of Forestry and Fire Protection for Emergency Response
- Caltrans - Linear Referencing System (LRS) Data Model
- Farallon builds Emergency Operations Center (EOC) incident management application for MTC
Meet the Demands of Modern Network and Transportation Management
Who uses Linear Networks?
- Highway management organizations
- Rail management agencies
- Gas and oil pipeline industries
- Utility industries
- Police and emergency management organizations
- Military planning organizations
- Transit agencies
- Automatic Vehicle Location systems
Whether for network planning and analysis, demand modeling, pavement management, highway inventory, infrastructure condition assessment, traffic management, maintenance scheduling, or environmental studies, accurate, up-to-date, geospatially-oriented information is the cornerstone for meeting the demands of modern network and transportation management.
Highway network that uses a linear referencing system to manage and flag incidents, and handle rerouting logistics .
Linear Referencing Systems (LRS)
Infrastructure and transportation data is located using references to other known locations
Unlike traditional spatial information which is located using a cartographic coordinate system, most infrastructure and transportation data is located using a system of linear references. For example, pavement conditions, accident data, valve locations, or average daily traffic are referenced by location to known locations on a linear network such as a bridge, street intersection, or mileposts along a highway or river.
A Linear Referencing Systems (LRS) is a way to define a feature or location by its linear distance from a known point on a route such as highways, rail lines, runways, pipelines, and waterways. Analyzing linearly referenced data lets you identify trends, locate problems, and search for causes.
- Linear reference systems & dynamic segmentation Queries
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- Show me all 2 lane roads, with poor pavement quality.
- Two accident reports are received. One gives GPS coordinates and one gives road intersections. Are they two separate accidents needing dispatch.
- Find the shortest, fastest, and least-costly route to take for an oversized truck (e.g. avoid running into narrow or low clearance bridges)
- Find all the wetlands within 100 feet of the highway centerline on highway 101 between milepost 69 and 79
- Where are and what is the frequency of accidents at intersections with side-positioned traffic lights
- Where is the best location to build a new store based on accessibility, drive-time analysis, and demographic information
Dynamic Segmentation
Real-time mapping of events and infrastructure data to linear networks
Using Dynamic Segmentation, tabular data can be visualized on a map and displayed, queried and analyzed in a GIS. These data includes things like accident locations, infrastructure improvement projects, bridges, valve locations, number of roadway lanes, diameter of a pipe, pavement quality, right of way, ownership, and flow volume. A major benefit is that individual tables can be more easily updated when attributes, performance characteristics, or usage patterns change over time.
Once an event has been dynamically segmented, it can be used in spatial analyses to generate simulation models, maps and reports.