Citizen-centered parking locator system(Case study; Tabriz city)
Abolfazl Ghanbari
1
(
Academic Member/University of Tabriz
)
Ahmad Nikdel
2
(
M. A, Stud., Faculty of Planning and Environmental Sciences, University of Tabriz,
)
Keywords: Parking locator, Intelligent System, Citizen-centered, Mobile GIS, Tabriz .,
Abstract :
Nowadays, the problem of parking is one of the main problems of crowded cities. Because with the increase of urban population and the number of cars, the need for parking has multiplied. On the one hand, the expansion of the use of personal vehicles has increased the production of air and environmental pollution by increasing the consumption of non-renewable fuels, and on the other hand, it has increased the waste of useful time in society between unnecessary trips. Due to the nature of the subject, the present study is of an applied type and a descriptive-analytical type of research. The method of collecting information is documentary and field. In this research, an intelligent system based on multi-criteria decision systems is provided to find and route suitable parking in the city of Tabriz. This system is designed in two levels of comprehensive parking management and internal management of local parking under the web and the main part of parking performance based on Mobile- GIS. To collect and receive the data in this research used, a Web GIS system, OSM (Open Street Map), and Android studio software was used to process the data and design the proposed application. The purpose of this study is to create a suitable environment for searching and finding parking and reducing the problems caused by it. Users use this application to connect to the parking's database and by enter the weight of the criteria based on the importance of each to find the most suitable parking. It is also possible to search automatically with preset settings. Finally, the parking route is displayed on the map as audio and graphs for the user. Due to the historical and tourism situation of Tabriz and the increase of urban transportation traffic, especially in the city center, has been selected as the study area of this study. The results show that the proposed application reduces the problem of users in finding parking and also has a significant effect on reducing fuel consumption and thus air pollution.