Embedded Files
User-identified pain points:*
· Maintenance budgets need to be distributed network-wide
· Maintenance priorities are not necessarily based on risk
· Monitoring vast networks can be costly in time and money
Maintenance costs represent a huge portion of road/rail operator budgets, so any optimization of maintenance can have a large financial impact. Furthermore, delayed maintenance is common and costly, so addressing maintenance efficiently (both time and money) is beneficial to all users
Maintenance is usually addressed by cyclical maintenance schedules or manual directives to address urgent repairs. Data-driven, risk-based maintenance planning has growing interest in the industry, but is not yet widely implemented. Note that it is relatively common for road operations touse traffic cameras and rail operators to use train-mounted cameras to detect infrastructure issues, though the data is sometimes manually processed.
There may be opportunity to leverage satellite imagery, other geo-information data, and advanced models to assess conditions of infrastructure and surrounding threats (e.g., vegetation, buildings) to ensure monitoring and/or maintenance efforts are targeted to riskiest areas. Users identified 3 specific needs, each requiring one or more specific geospatial products (geo-requirements):
1. User Need 3.1: Risk assessments of individual maintenance zones
2. User Need 3.2: Vegetation maps highlighting areas where vegetation may threaten transportation infrastructure operations or safety
3. User Need 3.3: Alerts based on anomaly detection to highlight potential illegal activity (e.g., construction of buildings too close to critical infrastructure)
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