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Smart parking system on the side of the street using inter-vehicle communication under mobile

Number of pages: 87 File Format: word File Code: 32235
Year: 2014 University Degree: Master's degree Category: Facilities - Mechanics
Tags/Keywords: car park - Intelligent vehicle systems - Inter-vehicle communication - Inter-vehicle networks - ITS - Mobile phone software - Smart parking system - street traffic
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  • Summary of Smart parking system on the side of the street using inter-vehicle communication under mobile

    Dissertation for receiving a master's degree in the field of mechatronics

    Abstract

    Today, the use of inter-vehicle communication as one of the technologies to increase the safety and comfort of travel in the field of transportation and many automobile companies is considered. A type of waste of time and energy that includes a major part of street traffic is the problem of car parking. The increasing growth of public transport vehicles and the rapid increase of private cars in metropolises make the traffic situation of the city more complicated every day and make life in them more difficult. The main reason is the information error. Because the driver does not receive the necessary information or receives it late, he cannot take the appropriate reaction to it. If it is possible to expand the driver's level of information about the surrounding environment, there will be a tremendous transformation in transportation and traffic safety. This is possible through the exchange of information using special equipment that conveys the information to the driver much faster and the driver shows the right reaction at the right time. The need for intelligent control and strategic systems is necessary and necessary more than in the past, and it is an urgent and unavoidable need. Inter-vehicle networks are the basis of intelligent vehicle systems dedicated to traffic control, finding parking space and other applications. In this project, the impact of inter-vehicle communication in relation to finding a suitable parking space on the street has been investigated using practical implementation and only using mobile phones. Also, in order to evaluate the impact of inter-vehicle communication technology in order to reduce street traffic, a model has been implemented based on Google map rules in the real world. The purpose of this research is to reduce the amount of traffic on the streets in order to find a parking space, during peak traffic times and to reduce the wastage of time and energy, which can be easily searched for the desired place to park a car on the desired street and also reserve that place for car parking. This method is practically implemented. The relevant software is designed for smart mobile phones and allows users to extract all the information about the parking space in the desired street very simply by communicating with the geographic locator and the relevant database. The use of these connections between cars leads to the driver having enough information about the destination street so that he may have enough time to change the street and find an empty space to park his car. The results of the evaluations show that equipping only 50% of the cars with this system significantly reduces the traffic load on the streets in order to find a parking space for the car.

    Key words: inter-vehicle communication, mobile phone software, smart phones, car parking, ITS

    Chapter One

    Introduction

     

     

     

     

     

    1-1-Background:

    Traffic is an unpleasant phenomenon that occurs due to the increasing mechanization of society and increasing urbanization. Since the industrial economy took the place of the agricultural economy, due to more investment in cities and as a result of the existence of comfort and recreational facilities, as well as the natural and potential talents of cities for development; For example, "having enough water and geographical location" caused people to be drawn from villages to cities, which caused the creation of new settlements.

    On the other hand, the increasing growth of automobile production, it seems that in the creation of proper urban streets and passages and the lack of proper culturalization in developing societies caused the results such as creating traffic congestion, reducing transportation efficiency, increasing travel time, pollution and excessive fuel consumption.According to the statistics of the International Energy Agency in 2006, the transportation system accounted for 30% of the energy consumption and 61% of the world's crude oil consumption [22]. After the emergence of major problems in this direction and the occurrence of disturbances in urban traffic; The authorities just came to the conclusion that they should think about the traffic and its consequences.

    The increasing number of private vehicles due to the increasing resources and facilities and the ease of obtaining a private car has caused discussions about the intolerance of the existing transportation system [4]. Traffic is a complex and difficult problem that requires scientific and practical tactics to solve it, and to solve it, it requires basic infrastructure, and most importantly, it should be thought of solving it a long time ago. But with the help of the police and by increasing the fleet of public transport services, the municipalities can reduce the traffic load in times of crisis. The reason why this problem has not been paid attention to over time is that traffic engineers have paid more attention to the management of current traffic and have neglected the management of parking lots] 8 [.

    Today, with the help of information technology and intelligent traffic management methods, it is used to solve traffic problems and meet people's needs and desires] 1[. The use of these methods gives us different ways to control and reduce traffic. The main axes of traditional organizing in recent years have been: 3-Limiting traffic

                4-Increasing the public transport fleet

    Each of the above methods have limitations, as a result of which they have lost their ability to solve traffic problems and the need for intelligent systems becomes essential.

    Except for cultural efforts and the construction of new highways and roads, there are other solutions in the world. has been considered. In the field of designing systems without a driver or a driver's assistant, we have seen many researches and products, each of which has somehow tried to increase the driver's ability to understand the environment. Until now, due to various reasons including legal issues, driverless automatic cars have not been made public; But the technology of intelligent transportation systems can be used as an assistant to the driver and not instead of the driver] 9[.

    Today, the use of intelligent transportation technologies has increased significantly in developed and developing countries. The advantage of these systems is reducing the possibility of human error and the mechanization of traffic control, which increases the capacity and improves the safety of the traffic network [2]. But one of the solutions to the big traffic problem in all the cities of the world is to use smart public transportation fleet and expand it, especially subway and bus. But due to the lack of available land per person and city, planning is lagging behind and hence the problem of parking becomes increasingly acute. Especially in the city center areas, the possibility of new or special parking lots being built is low. Smart parking refers to parking lots that can be controlled and monitored by a mechanized system and provide ease of work for the driver. Intelligent parking management technologies may provide a cost-effective means to define nearby parking restrictions at transfer stations. Smart parking can also help drivers to identify, reserve and pay for parking

  • Contents & References of Smart parking system on the side of the street using inter-vehicle communication under mobile

    List:

    1-1-Background. 2

    1-2- Statement of the problem. 4

    1-3-Thesis structure. 10

    Chapter Two (related research background)

    2-1-Introduction. 11

    2-2-Definition of intelligent transportation system. 12

    2-2-1- ITS infrastructures. 13

    2-2-2-The most important goals and functions of ITS implementation. 14

    2-2-3-Classification of ITS service types. 15

    2-2-4-potential effects of information technology system on travel behaviors. 16

    2-2-5- How ITS works. 16

    2-2-5-1-Functions of components of intelligent transportation systems. 16

    2-2-6-prerequisite technologies in intelligent transportation systems. 17

    2-2-7-Collection of information. 19

    2-2-8- Information processing. 20

    2-2-8-1-GPS global positioning system. 21

    2-2-8-2-How GPS works. 22

    2-2-8-3-Some of the main GPS users 23

    2-2-8-4-Using mobile phone GPS in traffic control. 24

    2-2-9-SOTM integrated traffic control system. 25

    2-2-10-information communication. 26

    2-2-11- Distribution of information. 27

    2-2-12-Using information. 29

    2-3-Looking at the problem of parking in the big cities of the country. 31

    2-3-1-Works done in relation to smart parking lots in Iran. 33

    2-3-2-Works done in relation to smart parking lots abroad 36

    Chapter three (implementation of the project)

    3-1-Introduction. 44

    3-2-system architecture. 46

    3-2-1- First part: Basic system. 47

    3-2-2-coordinates. 49

    3-2-3-routing. 50

    3-2-4-Registration and deletion of the park. 51

    3-2-4-1-Receiving information. 52

    3-2-4-2-Controller for detection of movement status. 52

    3-2-4-2-a-inputs 53

    3-2-4-2-b-output. 58

    3-2-4-2-C-fuzzy laws. 59

    3-2-4-3- Sending information. 64

    3-2-5-reserving a parking space. 64

    3-2-6-Display status. 65

    3-2-7-website. 66

    3-2-7-1-database. 67

    3-3-how the program works. 68

    Chapter Four (Results)

    4-1-Introduction. 74

    4-2-Evaluation. 74

    4-2-1-Scenario. 75

    4-2-2-parameters 75

    4-2-3-evaluation metrics. 75

    4-2-4-results. 76

    Chapter Five (Conclusion)

    5-1-Introduction. 82

    5-2-Designed program. 83

    5-3-Suggestion. 84

    Persian sources. 85

    English sources. 86

    Appendix. 88

    Abstract

    Source:

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    GIS. Transportation Research Journal, 6th year, 3rd issue, fall 2018. 5- Reofi K, Rajabi F, Mirabbasi R. Using smart technology in the car parking guidance system.

    Proceedings of the second electronic city conference, pp. 1075-1069. 2018. Designing an intelligent parking management and guidance system and its role in securing

    and increasing road capacity. The second national conference on road accidents, rail and air accidents, Islamic Azad University, Zanjan branch, November 1390. The role of intelligent transportation systems in securing level crossings and reducing road and rail accidents. Proceedings of the first national conference on road and rail accidents, Zanjan Islamic Azad University, December 2008. 8 Tabibi M, Fathian M, Mousavi SH. 2016. Strategic planning for the development of the country's road intelligent transportation systems. Research Journal of Transport, No. 4. [9] Kafil P, Fathi M. Accident prevention by inter-vehicle networks. 11th International Conference on Transportation and Traffic Engineering, Code 447. [10] Lee W. 2017. SystemFuzzy systems and fuzzy control. Translated by Tashne Lab, Mashhad: Khajah University of Technology Publications, Nasiruddin Toosi, 526 pages. 11- Mogui D, Minaei B. 2017. STM, integrated system of traffic control and provision of urban traffic services on

    mobile phone. The second international conference of Electronic City. [12]- Mohammadi S., Ayat S. 1390. Designing an intelligent parking management and guidance system and its role in safe building and increasing road capacity. The second national conference on road accidents, rail and air accidents, Islamic Azad University, Zanjan branch. English sources [13]- Adler Christian, Eichler Stephan, Schroth Christoph, Strassberger Markus. 2006. The

    Scalability Problem of Vehicular Ad Hoc Networks and How to Solve it. In:IEEE Wireless Communications Magazine13, Nr.5, S. 6.

    [14]- Abdul Shabbir, Anasuri Sunil.Kumar. 2012. An Efficient Authentication Protocol for

    Security in MANETs.

    [15]-    Abdulmalik Alhammad, Francois Siewe, Ali Hilal.Al.Bayatti. 2013. An InfoStation-

    Based Context-Aware On-Street Parking System. De Montfort University Leicester, UK, Report No: 978-1-4673-5157-7/13.

    [16]- Chen Wenzhi, Liu Bai. 2006. A Smart Roadside Parking Navigation System Based on

    Sensor Networks for ITS. College of Computer Science, Zhejiang University, Hangzhou, Zhejiang, China. [17]- DSRC Standards: What's New?. ITS Standards Advisory number 3. US Department of Transportation. April 2003. Archived from the original on February 16, 2013.

    Retrieved September 9, 2013.

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    [19]- Guey Yun.Chang, Jang Ping.Sheu, Cheng Yu.Chung. 2010. Zooming: A Zoom-Based Approach for Parking Space Availability in VANET. Department of Computer Science and Information Engineering National Central University, Taiwan, Report No: 978-1-4244-2519-8/10.

    [20]- Hassan A. Karimi. Real-time Optimal-route Computation: a heuristic approach. 1996. ITS Journal. Vol.B(2), pp: 111-127.

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    [22]- International Energy Agency. 2006. Available from: http://www.iea.org/subjectqueries

    [Accessed 25 October 2014]

    [23]- Jatuporn Chinrungrueng, Udomporn Sunantachaikul, Satien Triamlumlerd. 2007.

    Smart Parking: an Application of optical Wireless Sensor Network. National

    Electronics and Computer Technology Center, National Science and Technology

    Development Agency, Ministry of Science and Technology, Report No: 0-7695-2757-4/7

    [24]- Jatuporn Chinrungrueng, Songphon Dumnin, Ronachai Pongthornseri. 2011. iParking: a

    Parking Management Framework. 11th International Conference on ITS Telecommunications. National Electronics and Computer Technology Center, National Science and Technology Development Agency Pathumthani, THAILAND, pp: 63-68.

    [25]- Kulti na.nakorn, Kutila Rojviboonchai. Comparison of Reliable Broadcasting Protocols for Vehicular Ad-Hoc Networks. department of computer engineering, Bangkok university.

    [26]- Kun.Chan Lan, Wen.Yuah Shih. 2014. An intelligent driver location system for smart parking. Department of Computer Science, National Chiao Tung University, No: 1001, University Road, Hsinchu 30010, Taiwan, ROC

    [27]- National Research Council (U.S.). Committee on the Future of the Global Positioning System; National Academy of Public Administration. 1995. The global positioning system: a shared national asset: recommendations for technical improvements and enhancements. National Academies Press.

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