An efficient multi-destinations trip planning protocol for intelligent transport system
Other Title(s)
نظام فعال لتخطيط الرحلات متعددة الوجهات في نظام المواصلات الذكي
Dissertant
Thesis advisor
University
Philadelphia University
Faculty
Faculty of Information Technology
Department
Department of Computer Science
University Country
Jordan
Degree
Master
Degree Date
2017
English Abstract
Road congestion results in a huge waste of time and productivity for millions of people.
Selecting the optimal path for vehicles, based on the real-time traffic information, is a possible way to deal with this problem, which, in turn, can help drivers decide to route around congested areas.
Several studies have been proposed in this field using the intelligent transport system technology (ITS).
ITS describe technology applied to vehicles as well as infrastructure to transfer information between them for improving safety, productivity and minimizing traffic congestion.
Information can be gathered by relying on transceivers placed at each vehicle and road side units (RSUs) placed at specific road locations to gather vehicles data which will include their location, speed, destination and travel time.
Although this technology has been widely exploited, existing studies have never addressed the issue of multi-destinations trip.
For this reason, in this work, we propose a Multi-Destination trip Planning Protocol (MDPP).
Drivers intend to visit more than one destination at the same trip is a common scene over the road network.
We aim to advice these drivers by considering the location of each destination in the trip and the real-time traffic information of the road network.
MDPP will recommend the best sequence of visiting the targeted destinations.
MDPP aims mainly to decrease the traveling time, fuel consumptions and gas emissions of each trip.
To evaluate our work and the effectiveness of MDPP, we developed a simulation experiment that has been executed repeatedly 30 times using different traffic scenarios and congestion levels.
Since previous studies have not tackled multi-destinations trip planning, we compared MDPP results with default used common sequences for visiting multiple destinations, they are Closest Destination First sequence and Random Destination First sequence.
The results of the simulation experiment showed that MDPP is outperforming both default common sequences.
Main Subjects
Information Technology and Computer Science
No. of Pages
56
Table of Contents
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : Introduction.
Chapter Two : Literature review.
Chapter Three : Proposed protocol.
Chapter Four : Performance evaluation.
Chapter Five : Conclusion and Future Work.
References.
American Psychological Association (APA)
Siyam, Hisham Jabir Nusayr. (2017). An efficient multi-destinations trip planning protocol for intelligent transport system. (Master's theses Theses and Dissertations Master). Philadelphia University, Jordan
https://search.emarefa.net/detail/BIM-955498
Modern Language Association (MLA)
Siyam, Hisham Jabir Nusayr. An efficient multi-destinations trip planning protocol for intelligent transport system. (Master's theses Theses and Dissertations Master). Philadelphia University. (2017).
https://search.emarefa.net/detail/BIM-955498
American Medical Association (AMA)
Siyam, Hisham Jabir Nusayr. (2017). An efficient multi-destinations trip planning protocol for intelligent transport system. (Master's theses Theses and Dissertations Master). Philadelphia University, Jordan
https://search.emarefa.net/detail/BIM-955498
Language
English
Data Type
Arab Theses
Record ID
BIM-955498
