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User-specified pain points:
· Capacity of existing infrastructure is generally not sufficient
· Demand forecasting is highly volatile and non-granular*
Up-to-date usage information helps operators better understand how to manage and maintain critical R&R infrastructure. It also helps with Transportation Demand Management (TDM), which refers to policies or incentives to encourage multi-modal transportation options, particularly during peak periods.
The transportation industry estimates quantity of use through a variety of tools, though up-to-date information is not often available. Traditional methods include manual counts, pneumatic tubes (counts cars on road), and official records (e.g., train schedules). Advanced methods are becoming more popular, but are not necessarily widespread in the industry, such as the use of mobile phone data, piezoelectric sensors, inductive loop, traffic cameras, and other technologies.
Satellite imagery and other geo-information data, such as census data, could provide unique insights on historical network usage and traffic. Combining mapping and monitoring technology with AI may help predict future patterns based on weather, large events, macroeconomic trade predictions, etc. Users identified 4 specific needs, each requiring one or more specific geospatial products (geo-requirements):
1. User Need 2.1: Near-real-time updates on transportation infrastructure usage (e.g., vehicles/hour)
2. User Need 2.2: Historical transportation infrastructure usage rates
3. User Need 2.3: Alerts on changes in transportation infrastructure usage rates
4. User Need 2.4: Predictions of future use, traffic, and congestion
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