Hash Code is a team programming competition organized by Google for students and industry professionals across Europe, the Middle East and Africa. You pick your team and programming language, we pick a Google engineering problem for you to solve.

The problem statement can be found here.

Millions of people commute by car every day; for example, to school or to their workplace.

Self-driving vehicles are an exciting development for transportation. They aim to make traveling by car safer and more available while also saving commuters time.

In this competition problem, we’ll be looking at how a fleet of self-driving vehicles can efficiently get commuters to their destinations in a simulated city.

Given a list of pre-booked rides in a city and a fleet of self-driving vehicles, assign the rides to vehicles, so that riders get to their destinations on time.

For every ride that finishes on time (or early), you will earn points proportional to the distance of that ride; plus an additional bonus if the ride also started precisely on time.

Run our scipt with python hashcode.py

There is one notable parameter for tuning the algorithm:

distance_penalty_multiplier = 3

which is multiply the penalty for each job per car based on the distance between them.

You can change the input and output files name with:

input_file = './input/d_metropolis.in'
output_file = 'd.txt'

Norbert Bajko / @norbertbajko
Peter Nagy / @nagypeterjob

The README.md is based on this one

This project is licensed under MIT - see the LICENSE file for details