Route Optimization System

Ibrahim, Ainulmardhiyah (2005) Route Optimization System. [Final Year Project] (Unpublished)

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Abstract

Congestion has been the main factor for the traveler to plan their destination. The traveler
needs to consider the time and even cancel their planning to one place because of this
factor. With the advancement of the technology that can guides in decision making, it can
solve one of the traveler problem. Route optimization system is a stand-alone system that
can give the traveler the shortest route upon user request. This system can be an
important resource for the traveler to reach their destination within their planning
schedule. This project will highlight the usage of GIS in implementing the system. The
objective of this project is focusing on the integration of Geographical Information
System (GIS) and Artificial Intelligence (AI). The main purpose is to concentrate in
displaying the map along with the database, searching and enable user to retrieve the
shortest path. This is due to enhance the capability of the user to choose another route.
The method used in this project is Rapid Application Development (RAD) methodology
which consists of four stages; requirement planning, user design, construction and
cutover. This research also details the study on current system that has already
implemented in Europe, which with the same objective is to find the shortest path. While
in Malaysia, the car manufacturer is doing this system which motivates me to do this
route optimization system as well. The result from the research will be the proposed
framework for route optimization system, the discussion on the GIS and AI as well as the
prototype of this system. This study proved that Route Optimization System has great
potential to be commercially implemented to get the shortest path as today's community
is eager of getting free from congestion on the road.

Item Type: Final Year Project
Subjects: Z Bibliography. Library Science. Information Resources > ZA Information resources
Departments / MOR / COE: Sciences and Information Technology
Depositing User: Users 2053 not found.
Date Deposited: 30 Sep 2013 16:55
Last Modified: 25 Jan 2017 09:46
URI: http://utpedia.utp.edu.my/id/eprint/7888

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