Optimal Mode of Interaction between Rail and Ground Urban Passenger Transport within the TIH

Abstract

The development of the infrastructure of transport interchange hubs is currently necessary to meet the growing demand for passenger services and to prevent infrastructural constraints on technological modernisation of entire transport system. Large-scale infrastructure projects are of a pronounced complex nature, involving many related industries in their sphere, which ultimately leads to an additional increase in GDP. A modern transport interchange hub is a public and business centre that ensures the quality of services, safety, technological reliability and creates an active business environment based on development of passenger infrastructure. Considering the latest global trends in the field of passenger transportation that englobe multimodality, speed, comfort and safety of passenger transportation, there is a pronounced need to develop modern transport interchange hubs.Minimisation of passenger transfer time between interacting modes of transport at TIH can be achieved by coordinating contact timetables of different modes of transport. To do this, it is necessary first, to solve the problem of determining the optimal mode of interaction between ground urban passenger and rail transport.The objective of the study described in the article is to determine the mode of supply of the units of ground urban passenger transport, which ensures the minimum time for a passenger to stay at TIH in accordance with the timetable of electric trains regarding the considered TIH. To reduce the dimension of the problem, it is assumed that all electric trains will have the same composition.The methods of scheduling theory were used to solve the problem in the context of the study that resulted in a formalised problem of determining the optimal mode of interaction between ground urban passenger transport in transport interchange hubs illustrated by the example of interaction of rail and urban road transport and considering all existing constraints.