Advances in Decision Sciences (ADS)

Graph Theory and Environmental Algorithmic Solutions to Assign Vehicles Application to Garbage Collection in Vietnam

Graph Theory and Environmental Algorithmic Solutions to Assign Vehicles Application to Garbage Collection in Vietnam

Title

GRAPH THEORY AND ENVIRONMENTAL ALGORITHMIC SOLUTIONS TO ASSIGN VEHICLES APPLICATION TO GARBAGE COLLECTION IN VIETNAM

Authors

Abstract

The problem of finding the shortest path including garbage collection is one of the mostimportant problems in environmental research and public health. Usually, the road map
has been modeled by a connected undirected graph with the edge representing the path, the
weight being the length of the road, and the vertex being the intersection of edges. Hence,
the initial problem becomes a problem finding the shortest path on the simulated graph.
Although the shortest path problem has been extensively researched and widely applied in
miscellaneous disciplines all over the world and for many years, as far as we know, there is no
study to apply graph theory to solve the shortest path problem and provide solution to the
problem of “assigning vehicles to collect garbage” in Vietnam. Thus, to bridge the gap in the
literature of environmental research and public health. We utilize three algorithms including
Fleury, Floyd, and Greedy algorithms to analyze to the problem of “assigning vehicles to
collect garbage” in District 5, Ho Chi Minh City, Vietnam. We then apply the approach to
draw the road guide for the vehicle to run in District 5 of Ho Chi Minh city. To do so, we
first draw a small part of the map and then draw the entire road map of District 5 in Ho
Chi Minh city. The approach recommended in our paper is reliable and useful for managers
in environmental research and public health to use our approach to get the optimal cost and
travelling time.

Keywords

Fleury algorithm, Floyd algorithm, Greedy algorithm, shortest path

Classification-JEL

A11, G02, G30, O35

Pages

1-35

https://doi.org/10.47654/v23y2019i3p1-35

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