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SoHardToName

Built model on cycle time and payload. Generate optimal truck settings to maximize productivity.

Results:

(1)Increase 22% of current tonnage;

(2)Get optimal schedules with weights

Model

GASolver.py:Use Genetic Algorithm to generate optimal solutions(schedule)

cost_estimation.py: Use physical theories to calculate truck's resistances, speeds, de/acceleration,

main.py: Connect to Kibana & Elastic (test)

roadsegment.py:Extract road segments and related info

traverse cost.py: Plot

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