Leverage Roadway Asset Analytics for Data-Driven Decision-Making
Facilitating Data-Driven Decision-Making
Transconomy Viewer is an enhanced data visualization tool that allows agencies to visualize and analyze their infrastructure data on interactive thematic maps and make data-driven decisions. It provides granular drill downs which improve the ability to process larger amounts of data without relying on raw data formats. Filtering capabilities yield fine-tuned search results and visualize specific attributes of interest in graphs and charts. This is useful for agencies to conveniently find and verify mapped attributes and corresponding metadata. Based on these analytics, state DOTs, Metropolitan Planning Organizations (MPOs), and city governments can plan well on resource allocation, priority maintenance schedules, and work force utilization.
How It Works
Transconomy Viewer helps you visualize and analyze extracted roadway assets on interactive and color-coded thematic maps.
Upload your geo-referenced roadway asset data
Map roadway assets on color coded thematic maps
Easily share with concerned stakeholders
Leverage analytics for data-driven decision making
Tailored Interface For Transportation Agencies
Transconomy Viewer facilitates transportation agencies to visualize transportation and infrastructure data on color-coded interactive maps. It helps in delivering and verifying the collected and processed roadway data based on GPS-plotted assets on maps. Transconomy Viewer addresses the need for visualized data to be easily shared with concerned stakeholders to facilitate collaborative decision-making.
Map Any Roadway Asset Data
Roadway asset data may include a wide range of information and attributes, such as pavement marking average retroreflectivity, International Roughness Index (IRI), Pavement Condition Index (PCI), pavement design features, pavement marking inventories, traffic signs, and many others. Transconomy Viewer addresses the critical challenge of extracting meaningful insights from these diverse data sets regardless of their format or method of data collection.