Adding an SVM function
The self-driving car has delivered its packages to the shelters. Now it has to find a parking lot and park there. Instead of having a base like many other systems, this saves Iotham City many useless trips.
Motivation – using an SVM to increase safety levels
The support vector system adds a new function to itinerary calculations—safety.
Most systems such as Google Maps focus on:
- Shortest trip
- Fastest trip
- Traffic
However, self-driving cars have to take extra precautions. In fact, many humans do not feel secure on some roads. Iotham City has a good management policy. Safety will come first, no matter what. Once a suitable parking lot has been found, the SVM has to avoid traffic.
The goal is to find a path through traffic even if the distance is longer. A p parameter allows for a p% variance of the distance. For example, 10% allows a 10% longer distance and will provide a safe passage, as shown in the following SVM result:
Traffic path
It is important to note that the data points...
