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Hello Lawerence,
With the vrp solver, you won't be able to model it in a dynamic way such that, for example, you only send the truck up the steep hill when light/empty. The same would be true for something like a weight restriction.
The vrp solver will minimize cost and you specify this in terms of a cost per hour and a cost per distance (for the routes). You can use this to indirectly minimize fuel consumption.
For the network dataset (drive time) attribute, use the slope to calculate the drive time. For example, slow down or increase the drive time for a steep hill. This will be considered in the vrp cost depending on how you set the cost per hour of the route.
Then set a cost per mile of the route depending upon its fuel consumption rate. With a mixed fleet, this will have the solution tend to favor the more efficient vehicles when there is a choice.
Based upon the result, you can report something like CO2 emissions based upon total mileage and your original assumptions for fuel consumption rate(s).
Jeff |
