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Route Recommendation Model Via An Analytic Hierarchy Process (AHP)


Fahad Kamal Alsheref
Abstract

Navigation apps made a massive change in our life; we can go everywhere even if we do not know the routes or locations. The primary function of the navigation systems is choosing the best route between two points A and B. This choice is depending on several parameters like the distance between the two points and traffic information. As of now, a course recommender framework is connected in different spaces, to furnish clients with proposal administrations dependent on their customized inclinations. With the expansion in the quantity of cell phone clients, portable traveler aides have increased tremendous research enthusiasm for present years. All the accessible frameworks on course suggestion have arranged into two classifications dependent on the administrations they give. They have named as goal-based proposals and course-based suggestions. The goal put together proposals are engaged with respect to the suggestion of a solitary goal that intently meets the client's advantage. In this paper, we proposed the course suggestion process by applying two additional parameters. The first one is the accidents rate for choosing the safest path and the second one is the number of services exists in the routes for choosing the most comfortable path. The proposed techniques could have applied to navigation systems like Google maps.

Volume 11 | Issue 9

Pages: 17-24

DOI: 10.5373/JARDCS/V11I9/20192768