CASPIAN JOURNAL
MANAGEMENT AND HIGH TECHNOLOGIES
SUPPORT OF DESIGION-MAKING IN THE URBAN LOGISTICS TASKS BASED ON TRAFFIC CONGESTION DATA
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Read | Sadovnikova Natalia P., Parygin Danila S., Potapova Tatiana A., Sobolev Vadim O. SUPPORT OF DESIGION-MAKING IN THE URBAN LOGISTICS TASKS BASED ON TRAFFIC CONGESTION DATA // Caspian journal : management and high technologies. — 2018. — №1. — pp. 94-102. |
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Sadovnikova Natalia P. - Doct.Sci. (Engineering), Associate Professor, Volgograd State Technical University, 28 Lenin Ave., Volgograd, 400005, Russian Federation, npsn1@yandex.ru
Parygin Danila S. - Cand.Sci. (Engineering), Associate Professor, Volgograd State Technical University, 28 Lenin Ave., Volgograd, 400005, Russian Federation, dparygin@gmail.com
Potapova Tatiana A. - post-graduate student, Volgograd State Technical University, 28 Lenin Ave., Volgograd, 400005, Russian Federation, tatiana_potapova@inbox.ru
Sobolev Vadim O. - undergraduate student, Volgograd State Technical University, 28 Lenin Ave., Volgograd, 400005, Russian Federation
Social and economic processes in any city that is big enough are largely defined by the efficient functioning of its transport system, and especially its roads. The task of providing for efficient decision-making and implementation of the taken decisions on movement within the city is complicated by a high level of the uncertainty of the situation on the roads; array of parameters and limitations that are to be taken into consideration. When solving urban logistics tasks it is rational to employ special methods, including those based on receiving current information from the Internet; accounting for the fuzziness and uncertainty of information on traffic flows and information changes dynamics. The paper discusses an approach to decision support in the process of building routes for moving around the city taking into account road utilized capacity, traffic congestion and user preferences. It describes the method of constructing an optimal route of travel around the city by car at the planned time that takes into consideration the movement duration and other factors. The authors present the developed web-based service for processing data on traffic congestion and for choosing the best route. The also determine optimal values for tile sizes for reading data on the vehicle's current speeds; the period of reading the data on the traffic speed on city roads; period of time taken into account when calculating the average speed of movement; interval between updates of average speeds. The developed service was tested to plan movement on Volgograd roads.
Key words: поддержка принятия решений, автотранспортные магистрали, факторы неопределенности, построение маршрута, оптимизация, транспортная загруженность, Волгоград, веб-сервис, decision-making support, motorways, uncertainties, route calculation, optimization, tra