Tayyba Zahoor
ABSTRACT
Urbanization, exceptional increase in population and advancement in technology caused the automotive industry to grow rapidly & automobiles become essential part of daily life. Consequently, finding a parking space particularly in populous zones, is a challenging task. Researchers have proposed different solutions to assist the developments in smart parking systems. In this paper, we have investigated the key tools, techniques & challenges proposed in the recent research studies. Primarily, a Systematic Literature Review is carried out, total 35 studies are explored during time interval of (2015-2019). Subsequently, five major areas are recognized where smart parking is often functional i.e. Internet of Things (IoT) (13 studies), Cloud Computing (2 studies), Model-Driven Engineering (4 studies), Fog Computing (6 studies) and Artificial Intelligence (11 studies). Furthermore, (15) primary tools and (25) algorithms are presented. This article also portray the challenges cited by different studies. The findings of this study will definitely assist the practitioners while deciding the appropriate selections.
- Imed Ben Dhaou, Aron Kondoro, Ali Hamad Alsabhawi, Oumaima Guedhami and Hannu Tenhunen. A Smart Parking Management System Using IoT Technology. FRUCT'22 Proceedings of the 22st Conference of Open Innovations Association, May 15-18, 2018Google Scholar
- Bhawna Suri, Pijush Kanti Dutta Pramanik, Shweta Taneja. An Efficient Parking Solution for Shopping Malls Using Hybrid Fog Architecture. Pre-conference Symposium of International Conference on Innovative Computing and Communication (ICICC-2019) New Delhi, IndiaGoogle Scholar
- Hsieh MY., Lai Y., Lin H.Y., Li KC. (2018) A Model for Predicting Vehicle Parking in Fog Networks. Springer, DOI https://doi.org/10.1007/978-981-10-3187-8_25Google ScholarCross Ref
- Muzakkir Hussain M., Khan F., Alam M.S., Sufyan Beg M.M. (2019) Fog Computing for Ubiquitous Transportation Applications---A Smart Parking Case Study, Springer, DOI https://doi.org/10.1007/978-981-13-1642-5_22Google ScholarCross Ref
- Ioana Marcu, Andrei Ţigănuş, Ana Maria Claudia Dragulinescu, George Suciu. A new approach on Smart-Parking concept. ECBS '19 Proceedings of the 6th Conference on the Engineering of Computer Based Systems Article No. 15, doi>10.1145/3352700.3352715Google Scholar
- Davide Moroni, Gabriele Pieri, Giuseppe Riccardo Leone, and Marco Tampucci. 2019. Smart Cities Monitoring through Wireless Smart Cameras. In 2nd International Conference on Applications of Intelligent Systems (APPIS 2019), Jan 7--9, 2019, Las Palmas de Gran Canaria, Spain. ACM, NY, USA, https://doi.org/10.1145/3309772.3309789Google ScholarDigital Library
- Burak Kizilkaya a, Mehmet Caglar a, Fadi Al-Turjman b, Enver Ever a. Binary search tree based hierarchical placement algorithm for IoT based smart parking applications. Internet of Things 5 (2019) 71--83Google ScholarCross Ref
- Zeenat Rehena, Md Ashifuddin Mondal, and Marijn Janssen. 2018. A Multiple-Criteria Algorithm for Smart Parking: Making fair and preferred parking reservations in Smart Cities. In dg.o '18: dg.o 2018: Proceedings of the 19th Annual International Conference on Digital Government Research, May 30-June 1Google Scholar
- Alok Ranjan, Prasant Misra, Arunchandar Vasan, Sunil Krishnakumar, and Anand Sivasubramaniam. 2019. City Scale Monitoring of On-Street Parking Violations with StreetHAWK. 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys '19), Novr 13--14, 2019, NY, USA. ACM, https://doi.org/10.1145/3360322.3360841Google ScholarDigital Library
- Ziliang Zhao, Jong-won Kim, Liang Zhang. Parking Data Collection, Storage and Mining in Smart City. 2018 Proceedings of the 2nd International Conference on Big Data Research http://dx.doi.org/10.1145/3291801.3291841Google ScholarDigital Library
- Ali Alqazzaz, Raed Alharthi, Ibrahim Alrashdi, MI Esam Aloufi, Mohamed A. Zohdy, Hua Ming. A Practical Evaluation of a Secure and Energy-Efficient Smart Parking System Using the MQTT Protocol. Proceedings of the 2019 3rd International Conference on Information System and Data Mining https://doi.org/10.1145/3325917.3325937Google ScholarDigital Library
- Diya Thomas, Binsu C. Kovoorb. A Genetic Algorithm Approach to Autonomous Smart Vehicle Parking system. 6th International Conference on Smart Computing and Communications, ICSCC 2017, 7--8 Kurukshetra, India, Procedia Computer Science 125 (2018) 68--76Google ScholarCross Ref
- Sharaf A. Alkheder, Murad M. Al Rajab, Khalid Alzoubi. Parking problems in Abu Dhabi, UAE toward an intelligent parking management system, Alexandria Engineering Journal (2016) 55, 2679--2687 https://doi.org/10.1016/j.aej.2016.06.012Google Scholar
- Ioannis Chatzigiannakis, Andrea Vitaletti, Apostolos Pyrgelis. A privacy-preserving smart parking system using an IoT elliptic curve based security platform. Computer Communications. 89--90 (2016) 165--177Google Scholar
- Koray Incki, IsmailAria. Model-Based Runtime Monitoring of Smart City Systems. 15th International Conference on Mobile Systems and Pervasive Computing MobiSPC 2018 https://doi.org/10.1016/j.procs.2018.07.146Google Scholar
- A. Šarić, B. Mihaljević and K. Marasović. Making a Smart City Even More Intelligent Using Emergent Property Methodology. 2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)Google Scholar
- Thanh Nam Pham1, Ming-Fong Tsai, Duc Binh Nguyen1, Chyi-Ren Dow, and Der-Jiunn Deng. A Cloud-Based Smart-Parking System Based on Internet-of-Things Technologies. IEEE Access, vol. 3, pp. 1581--1591, 2015.Google ScholarCross Ref
- Tajudeen Olawale Olasupo, Carlos Enrique Otero, Luis Daniel Otero, Kehinde Olumide Olasupo, Ivica Kostanic. Path Loss Models for Low-Power, Low-Data Rate Sensor Nodes for Smart Car Parking Systems. IEEE transactions on intelligent transportation systems, vol. 19, no. 6, june 2018Google Scholar
- Cristian Roman, Ruizhi Liao, Peter Ball, Shumao Ou, and Martin de Heaver. Detecting On-Street Parking Spaces in Smart Cities: Performance Evaluation of Fixed and Mobile Sensing Systems. IEEE transactions on intelligent transportation systems, vol. 19, no. 7, july 2018Google Scholar
- D.Vakula and Yeshwanth Krishna Kolli. Low Cost Smart Parking System for Smart Cities. Proceedings of the International Conference on Intelligent Sustainable Systems (ICISS 2017)Google Scholar
- Javier Martínez García, Dominik Zoeke, And Martin Vossiek. MIMO-FMCW Radar-Based Parking Monitoring. IEEE Access VOLUME 6, 2018Google Scholar
- Claudio Badii, Paolo Nesi, And Irene Paoli. Predicting Available Parking Slots on Critical and Regular Services by Exploiting a Range of Open Data. IEEE Access (Volume: 6) 09 August 2018 DOI: 10.1109/ACCESS.2018.2864157Google Scholar
- Cheng Huang, Rongxing Lu, Xiaodong Lin and Xuemin Shen. Secure Automated Valet Parking: A Privacy-Preserving Reservation Scheme for Autonomous Vehicles. IEEE Transactions on Vehicular Technology, Vol. 67, No. 11, Nov 2018Google Scholar
- Mingming Liu, Joe Naoum-Sawaya, Yingqi Gu, Freddy Lecue, and Robert Shorten. A Distributed Markovian Parking Assist System. IEEE Transactions On Intelligent Transportation Systems, Vol. 20, No. 6, June 2019Google ScholarCross Ref
- Chaogang Tang, Xianglin Wei, Chunsheng Zhu, Wei Chen and Joel J. P. C. Rodrigues. Towards Smart Parking Based on Fog Computing. Sustainable Infrastructures, Protocols, and Research Challenges for Fog Computing, IEEE Access (Volume: 6) DOI: 10.1109/ACCESS.2018.2880972Google Scholar
- Kamran Sattar Awaisi, Assad Abbas, Mahdi Zareei, Hasan Ali Khattak, Muhammad Usman Shahid Khan, Mazhar Ali, Ikram Ud Din, And Sajid Shah. Towards a Fog Enabled Efficient Car Parking Architecture. IEEE Internet Of Things Journal, Vol. 6, No. 2, April 2019Google Scholar
- Zakria Qadir, Fadi Al-Turjman, Muazzam A. Khan, Tayfun Nesimoglu. ZIGBEE Based Time and Energy Efficient Smart Parking System using IOT. 2018 18th Mediterranean Microwave Symposium (MMS)Google Scholar
- Mohamed Mohandes, Mohamed Deriche, Muhammad T. Abuelma'atti, Noman Tasadduq. Preference-based smart parking system in a university campus. IET Intelligent Transport Systems 13(2) October 2018 DOI: 10.1049/iet-its.2018.5207Google Scholar
- Jiazao Lin, Shi-Yong Chen, Chih-Yung Chang and Guilin Chen. SPA: Smart Parking Algorithm Based on Driver Behavior and Parking Traffic Predictions. IEEE Access (Volume: 7) March 14, 2019Google Scholar
- Shahid Hussain, Mohamed A. Ahmed, and Young-Chon Kim. Efficient Power Management Algorithm Based on Fuzzy Logic Inference for Electric Vehicles Parking Lot. IEEE Access (Volume: 7) May 16, 2019Google ScholarCross Ref
- Elham Akhavan-Rezai, Mostafa F. Shaaban, Ehab F. El-Saadany and Fakhri Karray. New EMS to Incorporate Smart Parking Lots Into Demand Response. IEEE Transactions On Smart Grid, Vol. 9, No. 2, March 2018Google ScholarCross Ref
- Antonio Bucchiarone, Antonio Cicchetti, "A Model-Driven Solution to Support Smart Mobility Planning", the 21th ACM/IEEE International Conference October 2018, DOI: 10.1145/3239372.3239374Google ScholarDigital Library
- Tandon R., Gupta P.K. (2019) Optimizing Smart Parking System by Using Fog Computing. In: Singh M., Gupta P., Tyagi V., Flusser J., Ören T., Kashyap R. (eds) Advances in Computing and Data Sciences. ICACDS 2019 vol 1046. Springer, SingaporeGoogle Scholar
- Qamas Gul Khan Safia, Senlin Luo, Limin Pan, Wangtong Liu, Rasheed Hussain, Safdar H. Bouk. SVPS: Cloud-based smart vehicle parking system over ubiquitous VANETs. Computer Networks Volume 138, 19 June 2018, Pages 18--30Google ScholarCross Ref
- Hiromasa Inoki, Kenji Hisazumi, Takahiro Ando, Tsuneno Nakanishi. A Process of Uncertainty Handling Method to Smart Mobility Application Development. 2018 7th International Congress on Advanced Applied InformaticsGoogle Scholar
- Kitchenham, B. 2004. Procedures for Performing Systematic Reviews. Elsevier. (July 2004)Google Scholar
- Anwar, M.W., Rashid, M., Azam, F. et al. A model-driven framework for design and verification of embedded systems through SystemVerilog. Des Autom Embed Syst 23, 179--223 (2019). https://doi.org/10.1007/s10617-019-09229-yGoogle ScholarCross Ref
Index Terms
- An Investigation of Smart Parking Tools, Technologies, & Challenges
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