Public Transport Planning Using Modified Ant Colony Optimization

Planning sustainable public transport is a crucial aspect of the efficient performance of the entire transport network. This paper presents a method for planning public transport routes using modified ant colony optimization. The individual objective function is created, which determines the effort needed to cover the route. This function takes into account real-world parameters such as driving time, route length, delays, and attractiveness more dynamically and flexibly. The application of the tool is described using an example of one of the most energy-efficient means of transport. The results made it possible to reduce the effort needed for the same line by 11.5% compared to the current route.