RUBIX, based on the core Rival technological platform, provides infrastructure and roadway managers with a turn-key solution for evaluating roadway infrastructure condition. The solution includes innovative tools for field-data collection, information consolidation, and dashboard reporting, while eliminating traditional barriers and time-consuming efforts related to complex field work, data manipulation, and reporting. The simplicity of the solution offers a new asset-management paradigm based on continuous measurements rather than long-term prediction. This new approach offers managers an agile and efficient tool applicable to planning, maintenance, and operational transportation lifecycle practices.
RUBIX Data Collection Methods
Currently, the primary data-collection method for RUBIX consists of acquisition from a mobile device (such as an iPhone or an iPad) through application-specific apps, or input from external 3rd party data sources.
Rubix Field Apps
Specific, easy-to-use field apps have been designed to collect the raw data required to compute information related to roadway and infrastructure operations. These apps are deployed on the iOS platform for the iPhone or iPad, depending on the end use of the Rubix workflow. For greater flexibility, apps are available to be used in both dynamic (driving) and static (walking) configurations. In mobile modes, certain applications have been designed to be in a constant recording mode when vehicle fleets, such as public works maintenance vehicles, are patrolling roads. In normal operation, data files are compressed and sent in real time to the Rubix processing server. Optionally, this AutoSend feature can be turned off and files can be sent manually using the configuration screen. The app portfolio concentrates on condition and performance rating for transportation infrastructure such as roads, sidewalks, and pathways. It does so through methods of automation, manual entry, mobile images and other capture techniques. Key apps included:
|This is a mobile app used to gather raw data to compute road roughness performance data.||This is a versatile app used to gather more specific condition data on pavements, sidewalks, and other infrastructure.|
Jump to the Solutions section to learn how rRuf and rRate are applied in application specific workflows such as road performance evaluations.
3rd Party Data Input
In addition to the data collection offered, the Rubix workflow can also accept other 3rd party data formats if users wish to take advantage of the capabilities while supplying their own data. Please contact email@example.com for information on current compatibilities, as well as integration of new formats.
RUBIX Data Processing Services
Once data is captured in the field, processing is accomplished using a cloud-based service. Files are sent from the mobile application to a RUBIX data processing server where they are reduced to extract and spatially reference domain-specific information.
rLoader – loads raw data gathered into the field into the Rubix database
rDR – GPS dead reckoning service used to aid and improve poor GPS data using supplied road centerline vectors
rSeg – Road segmenting service used to intelligently link, through advanced spatial analysis, all data captured to a segmented road centerline file
rRCI – Processing service used to aggregate and convert roughness parameters such as IRI, or response data captured from rRuf, to a Ride Comfort index (RCI), depending on road classification and/or speed of the captured data
rPCI – Processing service used to aggregate and convert raw road surface distress/defect to a comprehensive Pavement Condition Index (PCI) or equivalent score, based on industry-standard computation methods such as ASTM D6433.
rOCI – The Overall Condition Index (OCI) service generates a comprehensive quality index for each unique segment and sample. Equivalent quality indices (PQI, DMI, etc.) are also available in this service.
The type of processing steps, or workflow, is dependent on the end application in question. Jump to the Solutions section to learn how the above processing services are applied in workflows for road performance evaluations, gravel road monitoring, and other applications. RUBIX processing services/workflows are triggered automatically once data is received. The processing engine has the ability to automatically filter out data that is not part of or aligned with a defined road network, thus users should not worry about starting and stopping recordings at the exact beginning and end of road segments.
- Road condition Indices per segment (CSV, SHP or KML format) showing an overall view of the current network situation based on averaged current information;
- Historical report per segment (CSV);
- Raw data files.
In either method, the dashboard is configured for each unique agency and is accessed through a custom URL, and remains accessible for the duration of the subscription.