Solving Last Mile Problem as a Personal Service for Citizens

The last mile problem is crucially important for big cities. To solve it you need to find the ideal balance between different criteria: the mobility of people, comfort, unique characteristics of every person, the profit of transport system and other criteria in more complex models. To solve this problem for dynamic (not fixed) routes part, we offer to use the ontological description of citizens and transport system for matching and multi-agent technologies to plan different types of transport. To prove the idea a prototype of an intelligent multiagent transport system matcher was created. Based on a simple model of Person, Transport and Infrastructure description we proved the feasibility of the approach. In this paper for the first time, we present the Smart Transport System as a personal service provided for citizens. The main idea of the work is to take a step towards the new paradigm where not people adjust their plans for transport but smart transport provides personal service to every citizen according to their needs.