Development of specialized models of urban passenger transportation

Abstract

Peculiarities of transport services for the transportation of passengers, which must be taken into account when creating logistics models for organizing and managing passenger flows, are considered. Need of cost reduction of time of passengers for transport service is proved. The conclusion is drawn on need of the effective transport system creation, for the purpose of observance of intervals of the movement of buses on routes. The possibility of use of architectural approximations classes for the solution of transport logistics problems is analysed. The methods used for solving transport problems where the most widespread is modeling and algorithmization of the determined task formulation strategy with use of a classical algorithm of mathematical programming are considered. The prospects of a meta-heuristic method use is a genetic algorithm for the solution of tasks of the control of city passenger transport adapted to objective conditions are proved. The main features of genetic algorithms consisting in an opportunity by optimization to use criterion function and to consider the necessary number of restrictions are defined. The structure of a chromosome which represents the coded option of the movement of the bus in real time depending on a road situation is received. Statement of problem.In strategic programs of the transport systems development of any city, special attention is paid to management of traffic flows, increase in capacity of a street road network and safety of the movement. At the same time the urban passenger transport (CPT) is always one of the main components of transport infrastructure and has significant effect on social stability [1]. It is known that a main type of GPT is bus transport which is capable to provide most necessary mobility of citizens and therefore improvement of the organization of its work has priority value.Basic provisions on control of passenger transport and improvement of its functioning with use of logistic technologies were considered by many authors [3,4,5,7].

Optimization and Forecasting of Volume Passenger Flow With the Application of the Support Vector and Particle Swar Methods

“…В настоящее время в процессе реформ большое значение в формировании и оценке новых экономических отношений, приобретают подходы, учитывающие особенности территорий формирования и предоставления услуг. При этом принципы построения любой транспортной модели имеют признаки общности и требуют учета объективных закономерностей функционирования рынка транспортных услуг и изменения пассажиропотоков [1][2][3].…”