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Route Optimization System

Ibrahim, Ainulmardhiyah (2005) Route Optimization System. universiti teknologi petronas. (Unpublished)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
Academic Subject : Academic Department - Information Communication Technology
Subject: Z Bibliography. Library Science. Information Resources > ZA Information resources
Divisions: 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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