Model of hierarchical regression in decision problems of transportation systems

• Autorzy: Topolska K.
• Języki publikacji: EN

Abstrakty

EN

This article presents a method of multilevel hierarchical analysis for managing transportation systems – Intelligent Transport Systems (ITS). The task of multilevel planning it is essential to connect various links of the system. To make decisions a model of hierarchical structure has been applied as quite frequently actions in one point of the system affect results and actions taken in its other constituent. The article presents a method of estimation of the system parameters for the task of prediction. In the article the author is trying to prove that to select appropriate parameters to the model a weak correlation of independent features at simultaneous high correlation of these features with a dependent variable is necessary. All parameters necessary to solve decision problems must be random. A proposed model represents a compromise between estimation of the model in each group of routes separately and for all units of observations without taking into consideration grouping of routes.

Słowa kluczowe

EN

regression model; transport systems; multidimensional classification

PL

model regresji; systemy transportowe; klasyfikacja wielowymiarowa

• Wydawca: Polskie Stowarzyszenie Telematyki Transportu
• Czasopismo: Archives of Transport System Telematics
• Rocznik: 2017
• Tom: Vol. 10, iss. 2
• Strony: 27--32
• Opis fizyczny: Bibliogr. 7 poz.

Twórcy

autor

Topolska K.

• WSB University in Wrocław, Institute of Logistics, ul. Fabryczna 29/31, 53-609 Wrocław, Poland

Bibliografia

• [1] SIKORSKI P.M., ZEMBRZYCKI, T.: Spedycja w praktyce Polskie Wydawnictwo Transportowe 2006 s. 18-19 , 94, 180, 208
• [2] TOPOLSKI, M.: Capabilities for development of ITS system in the city of Wroclaw, Archives of Transport System Telematics 2015
• [3] Publikacja: Rola informatycznych systemów telematycznych w zarządzaniu współczesnym łańcuchem dostaw. Logistyka 2015
• [4] TOPOLSKI, M.: The use of cluster analysis and the theory of mathematical records in the process of planning the productionwarehouse flow. Research in Logistics & Production 2016
• [5] RĘBOWSKI, R.: Podstawy metod probabilistycznych”, PWSZ w Legnicy 2015
• [6] SIKORSKI P.M., ZEMBRZYCKI, T.: Spedycja w praktyce Polskie Wydawnictwo Transportowe 2006 s. 18-19 , 94, 180, 208
• [7] ZIMOLZAK, P.: Analiza skupień jako szczegóły przypadek skalowania, Uniwersytet Warszawski, Wydział Filozofii i Socjologii 2009, s. 10-13