MOBİL TELEFON VE GOOGLE HARİTA DESTEKLİ YEREL SEYAHAT ROTASI OPTİMİZASYONU: BURDUR ÖRNEĞİ
Journal Title: Mehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi - Year 2018, Vol 5, Issue 1
Abstract
EXTENDED SUMMARY Background: Today, people travel for different purposes, both domestic and abroad, according to their afford. A travel can be consist of different alternatives like beach, sand-sun, adventure, culture, art, history, nature, entertainment, congress, gastronomy, health. Each person has his own travel concept. Someone wandered the streets of the city with other people to feel the senses of the city; the other may like art and exhibitions. Therefore, the travel plan should be personalized. Purpose: In this study, an Android application has been developed to create personalized travel plan via Google maps. A trip plan can be created through Google maps or by selecting from previously identified sightseeing spots. The trip plan can take the form of a tour (starting from one location and back to the starting point by travelling all the sightseeing locations) or a route (start from a location to finish at another location). The user should be able to rearrange the routs according to their location. Method: Shortest route or tour of the trip plan is optimized by genetic algorithm. The genes of genetic algorithm consist of sightseeing locations which are selected by the user through Google maps. Locations (genes) that can connect to each other constitute the chromosome structure. Thus each chromosome represents a possible tour. Calculation of distances between connected locations yields a length of a tour (fitness). It can also be calculated over a chromosome and shows the chromosome's fitness value. When the calculating the shortest route with genetic algorithm process (select-cross-mutation) in the new chromosome are assigned unsuitable paths. In the new chromosome, same location used twice or the next location unsuitable. In this situation is corrected by correction function with the aid of greedy algorithm in feasible alternatives. Thus, the new chromosome is improved and more suitable individuals are obtained. Results and Conclusions: In this study, we developed mobile application which is made personalized tour plan. Thus the users will be able to make their travel routes easily and flexibly through Google map. In practice, points of interest can be determined either by the user or by selecting from predetermined the sightseeing addresses. It is also possible to create a new tour plan according to the location. Calculations can be done in the form of a tour or a route and are visualized on the map in this way. Since all data and calculations are performed on the smart mobile phone/tablet, a server computer is not required. The application was tested for the shortest tour and route using the nine different sightseeing locations (Sagalassos Antique City, Kremna Antique City, Kibyra Antik City, Salda Lake, Salda Kayak Merkez, Susuz Kervansarayı, İncirhan, İnsuyu Cave, Burdur Museum) in Burdur. The shortest route of the identified points was found to be as a 275.4 km. and the shortest tour 413.9 km. The obtained route and tour information is displayed on Google map. Distance between trip locations and road information were obtained with Google API help. This application can be used by represents, sales managers, etc. for visiting the places to go easily and in a shortest path. The distance data used in the application is for car transportation. The route calculation can also be added for pedestrian, subway, bus etc. according to the situation of the places to travel. The distance between two locations was taken into account in the calculations. If calculations are made considering the other attributes of the path (traffic intensity, number of intersections, signalization etc.) a different routes can be obtained. Also, considering road characteristic, the tours can be calculated as the shortest route, the most comfortable route and the quickest route.
Authors and Affiliations
Muhammer İlkuçar, Ahmet Çetinkaya
Keywords
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- EP ID EP309840
- DOI 10.30798/makuiibf.356320
- Views 115
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