Öz
Kişi
başına düşen gelir düzeyinin yükselmesi ve ulaşım imkanlarının kolaylaşmasıyla
birlikte iş veya turizm amaçlı seyahatler de artmıştır. Günümüzde turizm
faaliyetleri doğa, tarih, kültür, alışveriş gibi farklı alternatifler
sunmaktadır. Dolayısıyla insanlar kendi seyahat anlayışına göre farklı turizm
destinasyonlarını oluşturmak istemekte ve buna yardımcı olacak uygulamalara
ihtiyaç duymaktadırlar. Bu çalışmada akıllı cep telefonu yardımı ile kendi gezi
planımızı kolay bir şekilde oluşturma imkanı sunan, android tabanlı, mobil
uygulama geliştirilmiştir. Kullanıcı kendine uygun gezi noktalarını uygulama
marifetiyle Google harita üzerinden seçerek gezi turunu oluşturabilmektedir.
Uygulama, seçilen gezi noktaları arasındaki mesafeleri Google haritalar
üzerinden tespit edip, başlangıç ve bitiş konumlarına göre, genetik
optimizasyon algoritması kullanılarak en kısa turu hesaplayıp, turun rotasını
harita üzerinden görsel olarak sunmaktadır. En kısa tur hesaplama işlemi,
parametrik fonksiyon haline getirilerek, istendiğinde farklı rotalar için
dinamik olarak kullanılabilecektir.
Başlangıç ve bitiş noktaları belirtilmez ise sistem bulunduğu konumu
başlangıç ve bitiş konumları olarak otomatik tanımlayıp buna göre hesaplama
yapacaktır. Sistem, tüm hesaplamaları
kendi içinde yapacak ve bilgileri yine kendi üzerinde tutacağından, bu işlemler
için ayrıca bir sunucu bilgisayara ihtiyaç duymayacaktır. Hesaplamalarda Google
haritadan elde edilecek mesafeler kullanıldığından başka yol nitelikleri
(kavşak sayısı, sinyalizasyon, trafik yoğunluğu vb.) dikkate alınmamıştır. Uygulama, Burdur ilinde bazı seyahat
noktaları tespit edilip, buralarla ilgili bilgiler sisteme yüklenip test
edilmiştir.
Anahtar Kelimeler
Kaynakça
- COLEY, David A.(1999). An Introduction to Genetic Algortihms for Scientists and Engeneer, Copyright by World Scientific Publishing Co. Pte. Ltd.1999.
- HE N. ve Zhao S. (2013). Discussion on Influencing Factors of Free-flow Travel Time in Road Traffic Impedance Function, Procedia - Social and Behavioral Sciences 96 (2013) 90 – 97.
- HELSHANI L.(2015). An Android Application for Google Map Navigation System, Solving the Travelling Salesman Problem, Optimization throught Genetic Algorithm. Proceedings of FIKUSZ ’15 Symposium for Young Researchers, 2015, 89-102 pp © The Author(s). Conference Proceedings compilation © Obuda University Keleti Faculty of Business and Management 2015. Published by Óbuda University http://kgk.uni-obuda.hu/fikusz.
- HOLLAND J. H. (1975). Adaptation in Natural and Artificial Systems. Ann Arbor, Michigan: University of Michigan Press, 1975.
- ILKICAR M., Cifci A., Kaya A. İ.,(2017). Optimization Unbalanced Vehicle Route Problem Using Population Based Optimization Algorithms: Shortest Path of A Piece of Real City Model Supported By Google Map. Researchfora IV. INTERNATIONAL
- CONFERENCE Dubai, UAE, 2nd-3rd April 2017, ISBN- 978-93-86291-88-2, Page:53.
- KULKARNI S., (2016). Vehicle Routing Problem Solver, Published: International Journal of Engineering Research & Technology (IJERT), http://www.ijert.org, ISSN: 2278-0181, Vol. 5 Issue 12, December-2016.
- MITCHELL M. (1999). An Introduction to Genetic Algortihms. A Bradford Book the MIT Press Cambridge, Fifth Printing,1999.
- NARWADI T. ve Subiyanto, (2016). An Application of Traveling Salesman Problem Using the Improved Genetic Algorithm on Android Google Maps, Engineering International Conference (EIC) 2016, AIP Conf. Proc. 1818, 020035-1–020035-11; doi: 10.1063/1.4976899, Published by AIP Publishing. 978-0-7354-1486-0.
- TSP(2017),The Traveling Salesman Problem. http://www.math.uwaterloo.ca/tsp/ (Erişim tarihi: 12.09.2017)
- QI L. ve Schneide M.,(2016). Trafforithm A Traffic-aware Shortest Path Algorithm in Real Road Networks with Traffic Influence Factors. Published in: Geographical Information Systems Theory, Applications and Management (GISTAM), 2015 1st International Conference on Date of Conference: 28-30 April 2015,Date Added to IEEE Xplore: 14 July 2016. INSPEC Accession Number: 16143109, Publisher: IEEE Conference Location: Barcelona, Spain.
OPTIMIZATION OF LOCAL TRAVELLING ROUTE SUPPORTED WITH MOBILE PHONE & GOOGLE MAPS: CASE STUDY OF BURDUR
Öz
As the
level of income per capita increased and the means of transportation became
easier, travel for business or tourism increased. Today, tourism activities
offer different alternatives such as nature, history, culture, shopping.
Therefore, people want to create different tourism destinations according to
their travel concept and need applications to help them. An Android-based
mobile application has been developed that allows easy creation of our own
travel plan with the help of a smartphone in work. The user can choose his /
her own sightseeing spots by applying the map via Google map. The application
detects the distances between selected tour locations on Google maps and
calculates the shortest tour by using the genetic optimization algorithm
according to the start and end positions and visually presents the tour route
through the map. The shortest lap calculation process can be used as a
parametric function, dynamically for different routes when desired. If start and
end points are not specified, the system will automatically define the position
as start and end positions and calculate accordingly. Since the system can do
all calculations on its own and it stored the information on its own, therefore
it is no need for a server computer for these operations. At the shortest path calculations
are not considered other road attributes (number of intersections, the number
of the traffic light, traffic jam, etc.). In this application, some travel
points in Burdur province were determined and the information about the places
was uploaded and tested on the system.
Anahtar Kelimeler
Shortest Tour Mobile Tour Guide Google Maps Google API Android
Kaynakça
- COLEY, David A.(1999). An Introduction to Genetic Algortihms for Scientists and Engeneer, Copyright by World Scientific Publishing Co. Pte. Ltd.1999.
- HE N. ve Zhao S. (2013). Discussion on Influencing Factors of Free-flow Travel Time in Road Traffic Impedance Function, Procedia - Social and Behavioral Sciences 96 (2013) 90 – 97.
- HELSHANI L.(2015). An Android Application for Google Map Navigation System, Solving the Travelling Salesman Problem, Optimization throught Genetic Algorithm. Proceedings of FIKUSZ ’15 Symposium for Young Researchers, 2015, 89-102 pp © The Author(s). Conference Proceedings compilation © Obuda University Keleti Faculty of Business and Management 2015. Published by Óbuda University http://kgk.uni-obuda.hu/fikusz.
- HOLLAND J. H. (1975). Adaptation in Natural and Artificial Systems. Ann Arbor, Michigan: University of Michigan Press, 1975.
- ILKICAR M., Cifci A., Kaya A. İ.,(2017). Optimization Unbalanced Vehicle Route Problem Using Population Based Optimization Algorithms: Shortest Path of A Piece of Real City Model Supported By Google Map. Researchfora IV. INTERNATIONAL
- CONFERENCE Dubai, UAE, 2nd-3rd April 2017, ISBN- 978-93-86291-88-2, Page:53.
- KULKARNI S., (2016). Vehicle Routing Problem Solver, Published: International Journal of Engineering Research & Technology (IJERT), http://www.ijert.org, ISSN: 2278-0181, Vol. 5 Issue 12, December-2016.
- MITCHELL M. (1999). An Introduction to Genetic Algortihms. A Bradford Book the MIT Press Cambridge, Fifth Printing,1999.
- NARWADI T. ve Subiyanto, (2016). An Application of Traveling Salesman Problem Using the Improved Genetic Algorithm on Android Google Maps, Engineering International Conference (EIC) 2016, AIP Conf. Proc. 1818, 020035-1–020035-11; doi: 10.1063/1.4976899, Published by AIP Publishing. 978-0-7354-1486-0.
- TSP(2017),The Traveling Salesman Problem. http://www.math.uwaterloo.ca/tsp/ (Erişim tarihi: 12.09.2017)
- QI L. ve Schneide M.,(2016). Trafforithm A Traffic-aware Shortest Path Algorithm in Real Road Networks with Traffic Influence Factors. Published in: Geographical Information Systems Theory, Applications and Management (GISTAM), 2015 1st International Conference on Date of Conference: 28-30 April 2015,Date Added to IEEE Xplore: 14 July 2016. INSPEC Accession Number: 16143109, Publisher: IEEE Conference Location: Barcelona, Spain.
Ayrıntılar
| Birincil Dil | Türkçe |
|---|---|
| Konular | İşletme |
| Bölüm | Araştırma Makaleleri |
| Yazarlar | |
| Yayımlanma Tarihi | 20 Mayıs 2018 |
| Gönderilme Tarihi | 20 Kasım 2017 |
| Yayımlandığı Sayı | Yıl 2018 Cilt: 5 Sayı: 1 |
