Modeling the choice and satisfaction of passengers on multimodal routes

Passengers (especially in large cities) choose different modes of transport to travel along the same route. This is facilitated by the development of the road network (RN), the construction of transport hubs. There arises the problem of modeling the choice of routes and modes of transport for passengers to travel, taking into account transfers and changes of personal and public transport during trips. The solution of this problem is necessary for the purposes of designing route networks, plans for the development of the transport system and managing the load on the road infrastructure. A mathematical model of the choice of the mode of transport by passengers depending on the quality of the route, personal satisfaction and personal experience of the passenger, as well as the satisfaction of neighbors is proposed in [1-4]. However, this model considered only direct transportation from source point A to drain point B and could not take into account transportation by various modes of transport with transfers. This paper presents a new mathematical model that takes into account the multimodality of routes, as well as availability of several sources and drains, which will allow passengers to simulate the choice of modes of transport in individual districts or cities. The developed model makes it possible to simulate the choice and determine the level of passenger satisfaction on a new route network or assess the impact of changes on the existing one, since reinforcement learning methods are used instead of statistical analysis.