Open AccessDeveloping Just-In-Time and Network Flow Models For Urban Snow Removal Problem
Author(s) -
Zeinab Bandpey,
Ahlam Tannouri,
Isabelle Kemajou Brown,
Asamoah Nkwanta
Publication year - 2021
Publication title -
european journal of pure and applied mathematics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.245
H-Index - 5
ISSN - 1307-5543
DOI - 10.29020/nybg.ejpam.v14i4.4082
Subject(s) - snow removal , metropolitan area , snow , truck , flow network , transport engineering , computer science , traffic flow (computer networking) , matlab , flow (mathematics) , operations research , civil engineering , mathematical optimization , engineering , meteorology , mathematics , geography , geometry , computer security , archaeology , aerospace engineering , operating system
Winter urban traffic issues and performance present critical problems in large cities and metropolitan areas. In urban areas, there is a critical need for efficient methods for snow removal while considering the impact on the transportation infrastructure of a city. Several proposals and approaches on modeling snow removal that heuristically deals with finding solutions to this wideopen problem have been studied and published in recent years. In this paper, we developed a new mathematical model that uses the Just-In-Time (JIT) method to optimize a transportation problem. The paper’s main objective is to design a model for establishing efficient truck routes for snow removal by optimizing cost and time, which implicitly minimizes the impact on a city’s transportation infrastructure. We applied the network flow problem for snow removal to minimize time and cost of cleaning urban streets just in time. We ran several simulations of the models using the MATLAB®.