gis-ops / pyvroom

Vehicle Routing Open-source Optimization Machine

Python Vehicle Routing Open-source Optimization Machine

Good solution, fast... in Python.

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Pyvroom is an Python wrapper to the excellent VROOM optimization engine for solving vehicle routing problems.

The library aims to solve several well-known types of vehicle routing problems, including:

• Travelling salesman.
• Capacitated vehicle routing.
• Routing with time windows.
• Multi-depot heterogeneous vehicle.
• Pickup-and-delivery.

VROOM can also solve any mix of the above problem types.

Installation

Pyvroom currently makes binaries for on MacOS and Linux.

Installation should be as simple as:

pip install pyvroom

Basic usage

import vroom

problem_instance = vroom.Input()

problem_instance.set_durations_matrix(
    profile="car",
    matrix_input=[[0, 2104, 197, 1299],
                  [2103, 0, 2255, 3152],
                  [197, 2256, 0, 1102],
                  [1299, 3153, 1102, 0]],
)
problem_instance.add_vehicle(vroom.Vehicle(0, start=0, end=3))
problem_instance.add_job(vroom.Job(id=1414, location=1))
problem_instance.add_job(vroom.Job(id=1515, location=2))

solution = problem_instance.solve(exploration_level=5, nb_threads=4)

print(solution.summary.cost)
# 5461
for step in solution.routes[0].steps:
    print(step.step_type, step.duration)
# STEP_TYPE.START 0
# STEP_TYPE.JOB 2104
# STEP_TYPE.JOB 4359
# STEP_TYPE.END 5461