Infiltration route analysis using thermal observation devices (TOD) and optimization techniques in a GIS environment

Area of Science:

• Geospatial Information Systems (GIS)
• Military Operations Research
• Computational Geography

Background:

• Infiltration-route analysis is crucial for military strategy.
• Geospatial Information System (GIS) technology offers advanced analytical capabilities.
• Optimal-path-searching algorithms are key to identifying efficient routes.

Purpose of the Study:

• To develop a method for identifying susceptible infiltration routes using GIS.
• To apply optimal-path-searching algorithms to minimize detection probability costs.
• To simulate dynamic conditions for realistic route vulnerability assessment.

Main Methods:

• Utilized GIS for spatial analysis and cost function calculation.
• Incorporated thermal observation device (TOD) detection probability and viewshed analysis.
• Employed the A* algorithm to determine optimal routes by minimizing summed costs.
• Generated 1000 cost surfaces with random TODs and start points for dynamic simulation.

Main Results:

• Successfully identified 1000 sets of vulnerable infiltration routes.
• Developed an infiltration vulnerability map by accumulating simulation results.
• Demonstrated the effectiveness of dynamic simulation in GIS for optimization problems.

Conclusions:

• Dynamic GIS simulation provides a powerful solution for optimizing infiltration routing.
• The methodology can inform both optimal infiltration route planning and surveillance network design.
• The approach is adaptable for dynamic optimal routing in civil infrastructure applications.