Project Summary

This model scores loops prior to the race beginning based on various factors.

Goal

The goal of this model is to be able to calculate the “efficiency score” or reward for each loop to determine which one to take.

Inputs

For each loop we want to determine a cost to benefit ratio based on the loop properties, which include:

Distance

How much the additional distance will increase our score.

Stop/Start Moments

Accelerating/ Decelerating from/to stop will have an effect on energy consumption so we need to look at how we can minimize this. This isn’t an additional variable it directly impacts our power expenditure amount. Some extra reasons for stopping could be; Railroad tracks, weather, pedestrian crosses, or other stop causes not specified.

Speed Limits

The speed limit of the current road will also have an effect on the power that we consume. We need to look at how much power will be consumed by the current speed limit but also the km/h increase to a different speed limit.

Turns and their Steepness (90 degree or 120 degree)

Turns will also have an effect on our score. Not only using more power they also give us more points:

• 3 Levels 

  • 1-easy (~ 45 degree angle turn)

  • 2-medium (~90 degree angle turn)

  • 3-hard (~120 degree angle turn)

• Multiply number of turns by difficulty of each

• Example:

  • 2 easy turns 

  • 3 medium

  • 1 hard

  • Total Turn Score: 2(1)+3(2)+ 1(3)= 11

Estimated Completion Time

We need to look at being able to estimate the total minutes for each loop. This can be calculated simply by using speed / distance, or as we take in more variables can get more accurate. The current status (20 miles behind projected distance or 15 miles ahead) will act as weight for this variable. We then want to be able to calculate the average loop completion time:

• If loop time > average loop, difference will act as negative and be affected by current status

• If loop time < average loop, difference will act as positive and be affected by current status

Output

A cost-benefit score for each loop.