An empirical study of large transportation networks and solutions for the cost optimization.

We all know how important transportation is nowadays - from one street to another, from one city to another, from one county to another, from one region to another, from one country to another, from one continent to another and this list can go on with examples. The question we ask ourselves is: Can we find a better way? A better solution? A more accurate way? A more efficient, faster route to travel? All things take more or less time. All journeys matter. Whether you're going for a walk, on a trip, stuck in traffic on your way to work, have a small business and want to save money on bills, or you are one of the world's biggest entrepreneurs, for all of us, every second matters. That is why our transport, or our things, goods and so on, must be as efficient, accurate, correctly planned as possible, but at the same time safe. Nowadays, when everything is in a very accelerated continuous evolution, the efficiency and speed of achieving our goals are very important. There is a lot of emphasis on as little wasted time as possible and as many successes as possible. The expected productivity can only be achieved if all transport features are worked out with great care. Every little detail must be considered, mathematically, computationally, logically and chronologically, so that the overall result is the best, the most suitable, the most efficient for our problem. This work aims to study some examples of transport networks, following their advantages and limitations, and looks for all kinds of solutions, ideas to improve and optimize their costs. We tested two existing applications on some large datasets (Section 2 and Section 3). [ABSTRACT FROM AUTHOR]