Risk-based Route Planning
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Risk-based Route Planning finds the safest routes by avoiding known and predicted hotspots learned from patterns of past incidents.
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Overview
Risk-based Route Planning is a Google Maps-based mobile application allowing the user to plan safe routes in Baghdad, Iraq by avoiding known hotspots and predicted hotspots learned from patterns of past incidents.
Need
- Iraqi roads are a dangerous place with insurgents concealing explosive devices in median, buried under road or hidden in roadside debris
- Commanders need to see the effect of adversary tactics on their plans
- Commanders need a quick assessment of mission risk for competing route options
Approach
- Learn adversary tactics, techniques and procedures
- Use models to forecast risk
- Identify known hotspots as well as predicted hotspots based on learned risk patterns
- Provide tactical intelligence application
After - Minimal Risk (go to route) |
Benefits
- Faster adaptation to adversary tactics due to system learning
- Increased productivity in assessing the effect of adversary tactics on plans
- Reduced mission risk due to integration of doctrine and events
- More effective training of personnel before deployment
Applications
- Sense and Respond Logistics: Apply knowledge from past experience learned from historical patterns of traffic to predict trouble spots associated with scheduled events
- Location Based Services: Commercial transportation logistics and planning
- Competitive Advantages:
- Unlike battlespace incident reporting and statistics, we learn models and patterns and predict behavior at locations with no prior incidents
- Route Planning brings a higher level of automation to IPB process planning and implementation
References
- Caglayan, A. Military Logistics Summit milcord blog. August 9, 2009.
- Caglayan, A. Risk-Based Route Planning for Sense and Respond Logistics, Military Logistics Summit 2009, Sheraton Premiere at Tysons Corner, Vienna, VA, June 8-11, 2009.
abstract | blog | solution
- Caglayan, A., Burke, D., Eaton, G. and Meessen, Y. (2008) Course of Action Forecasting, Technical Report, DTIC AD Number: ADB338206. US Army TEC, Alexandria, VA.


