Trip Distribution Forecast For Users Of An Urban Train Public Transport Line, Based On The Entropy Maximization Model


Trip Distribution Forecast For Users Of An Urban Train Public Transport Line, Based On The Entropy Maximization Model
Published in:	Prospective and trends in technology and skills for sustainable social development. Leveraging emerging technologies to construct the future: Proceedings of the 19th LACCEI International Multi-Conference for Engineering, Education and Technology
Date of Conference:	July 19-23, 2021
Location of Conference:	Virtual
Authors:	Fernando Ramiro Castro Aragon (UNIVERSIDAD PERUANA DE CIENCIAS APLICADAS, PE) Joel Nahir Paredes Laura (UNIVERSIDAD PERUANA DE CIENCIAS APLICADAS, PE) Edynzzon Juan Manuel Palacios Torres (UNIVERSIDAD PERUANA DE CIENCIAS APLICADAS, PE)
Full Paper:	#525

Abstract: The problem of public transport by city rail is the overscathing of passengers along its route (stations). Traditionally the study of distribution of passages is carried out before the construction of urban trains, after that few carry out monitoring the increase in demand and improvements of the urban train. Therefore, in order to minimize the overscathing of certain stations, the entropy maximisation model was applied due to its characteristic impedance. Within the framework of uncertainty theory, the solid transport model based on uncertain entropy is transforms into its deterministic equivalent, which can be solved by general optimization methods. Finally, a numerical example is given to illustrate the purpose.