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Smart parking sensors, technologies and applications for open parking lots: a review

Smart parking sensors, technologies and applications for open parking lots: a review

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Parking a vehicle in traffic dense environments often leads to excess time of driving in search for free space which leads to congestions and environmental pollution. Lack of guidance information to vacant parking spaces is one reason for inefficient parking behaviour. Smart parking sensors and technologies facilitate guidance of drivers to free parking spaces thereby improving parking efficiency. Currently, no such sensors or technologies is in use for open parking lot. This study reviews the literature on the usage of smart parking sensors, technologies, applications and evaluates their applicability to open parking lots. Magnetometers, ultrasonic sensors and machine vision were few of the widely used sensors and technologies on closed parking lots. However, this study suggests a combination of machine vision, convolutional neural network or multi-agent systems suitable for open parking lots due to less expenditure and resistance to varied environmental conditions. Few smart parking applications show drivers the location of common open parking lots. No application provided real-time parking occupancy information, which is a necessity to guide them along the shortest route to free space. To develop smart parking applications for open parking lots, further research is needed in the fields of deep learning and multi-agent systems.

References

    1. 1)
      • 1. Chinrungrueng, J., Sunantachaikul, U., Triamlumlerd, S.: ‘Smart parking: an application of optical wireless sensor network’, Int. Symp. on the applications and internet workshop, Japan, Hiroshima, IEEE, 2007.
    2. 2)
      • 2. Polak, J., Vythoulkas, P.: ‘An assessment of the state-of-the-art in the modelling of parking behaviour’, Report to Transport Research laboratory, Issue 753, 1993.
    3. 3)
      • 3. Boltze, M., Puzicha, J.: ‘Effectiveness of the parking guidance system in Frankfurt am main’, Parking Trend Int., 1995, pp. 2730.
    4. 4)
      • 4. White, P.: ‘No Vacancy: Park Slopes Parking Problem And How to Fix It, in Internet’: http://www.transalt.org/newsroom/releases/126 [7 January 2016]. 2007.
    5. 5)
      • 5. Gallivan, S.: ‘IBM global parking survey: Drivers share worldwide parking woes technical report’. Technical report, IBM, 2011.
    6. 6)
      • 6. Shoup, D.C.: ‘Cruising for parking’, Transp. Policy, 2006, 13, (6), pp. 479486.
    7. 7)
      • 7. Polycarpou, E., Lambrinos, L., Protopapadakis, E.: ‘Smart parking solutions for urban areas’. 2013 IEEE 14th Int. Symp. and Workshops on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), Madrid, Spain, 2013.
    8. 8)
      • 8. Geroliminis, N., Daganzo, C.F.: ‘Existence of urban-scale macroscopic fundamental diagrams: some experimental findings’, Transp. Res. B, Methodol., 2008, 42, (9), pp. 759770.
    9. 9)
      • 9. Geroliminis, N., Sun, J.: ‘Properties of a well-defined macroscopic fundamental diagram for urban traffic’, Transp. Res. B, Methodol., 2011, 45, (3), pp. 605617.
    10. 10)
      • 10. Shoup, D.C.: ‘The high cost of free parking’, vol. 206 (Planners Press, Chicago, 2005).
    11. 11)
      • 11. Statista: ‘Average age of light vehicles in the U.S. from 2003 to 2016 (in years)’, 2017, https://www.statista.com/statistics/261881/average-age-of-light-vehicles-in-the-united-states/, accessed 17 November 2017.
    12. 12)
      • 12. European Automobile Manufactures Association: ‘Average vehicle age’, 2017, http://www.acea.be/statistics/tag/category/average-vehicle-age, accessed 17 November 2017.
    13. 13)
      • 13. Thierer, A., Hagemann, R.: ‘Removing roadblocks to intelligent vehicles and driverless cars’, 2014.
    14. 14)
      • 14. Harding, J., Powell, G., Yoon, R., et al: ‘Vehicle-to-vehicle communications: readiness of V2V technology for application’. 2014.
    15. 15)
      • 15. Guler, S.I., Menendez, M., Meier, L.: ‘Using connected vehicle technology to improve the efficiency of intersections’, Transp. Res. C, Emerg. Technol., 2014, 46, pp. 121131.
    16. 16)
      • 16. Yang, Z., Liu, H., Wang, X.: ‘The research on the key technologies for improving efficiency of parking guidance system’. Intelligent Transportation Systems, Proc. 2003 IEEE, Shanghai, China, 2003.
    17. 17)
      • 17. Kotb, A.O., Shen, Y.C., Zhu, X., et al: ‘Iparker—A new smart car-parking system based on dynamic resource allocation and pricing’, IEEE Trans. Intell. Transp. Syst., 2016, 17, (9), pp. 26372647.
    18. 18)
      • 18. Revathi, G., Dhulipala, V.S.: ‘Smart parking systems and sensors: A survey’. 2012 Int. Conf. on IEEE Computing, Communication and Applications (ICCCA), Dindigul, Tamilnadu, India, 2012.
    19. 19)
      • 19. Mimbela, L.E.Y., Klein, L.A.: ‘Summary of vehicle detection and surveillance technologies used in intelligent transportation systems’. 2000.
    20. 20)
      • 20. Hassoune, K., Dachry, W., Moutaouakkil, F., et al: ‘Smart parking systems: A survey’. 11th Int. Conf. on IEEE Intelligent Systems: Theories and Applications (SITA), 2016.
    21. 21)
      • 21. Fraifer, M., Fernström, M.: ‘Investigation of smart parking systems and their technologies’. Thirty Seventh Int. Conf. on Information Systems. IoT Smart City Challenges Applications (ISCA 2016), Dublin, Ireland, 2016.
    22. 22)
      • 22. Mahmud, S., Khan, G.M., Rahman, M., et al: ‘A survey of intelligent car parking system’, J. Applied Res. Technol., 2013, 11, (5), pp. 714726.
    23. 23)
      • 23. Enríquez, F., Soria, L.M., Álvarez-García, J.A., et al: ‘Existing approaches to smart parking: An overview’. Int. Conf. on Smart Cities, Malaga, Spain, 2017.
    24. 24)
      • 24. Idris, M., Leng, Y.Y., Tamil, E.M., et al: ‘Саг park system: a review of smart parking system and its technology’, Inf. Technol. J., 2009, 8, (2), pp. 101113.
    25. 25)
      • 25. Shaheen, S.: ‘Smart parking management field test: a bay area rapid transit (bart) district parking demonstration’ (Institute of Transportation Studies, Davis, CA, USA, 2005).
    26. 26)
      • 26. Mouskos, K., Boile, M., Parker, N.A.: ‘Technical solutions to overcrowded park and ride facilities’ (New Jersey Department of Transportation, New Jersey, NY, USA, 2007).
    27. 27)
      • 27. Kianpisheh, A., Mustaffa, N., Limtrairut, P., et al: ‘Smart parking system (SPS) architecture using ultrasonic detector’, Int. J. Softw. Eng. Appl., 2012, 6, (3), pp. 5158.
    28. 28)
      • 28. Idris, M., Tamil, E.M., Noor, N.M., et al: ‘Parking guidance system utilizing wireless sensor network and ultrasonic sensor’, Inf. Technol. J., 2009, 8, (2), pp. 138146.
    29. 29)
      • 29. Mathur, S., Jin, T., Kasturirangan, N., et al: ‘Parknet: drive-by sensing of road-side parking statistics’. Proc. of the 8th Int. Conf. on Mobile Systems, Applications, and Services, ACM, San Francisco, CA, USA, 2010.
    30. 30)
      • 30. Waterson, B., Hounsell, N., Chatterjee, K.: ‘Quantifying the potential savings in travel time resulting from parking guidance systems-a simulation case study’, J. Oper. Res. Soc., 2001, 52, (10), pp. 10671077.
    31. 31)
      • 31. Rahman, M.S., Park, Y., Kim, K.-D.: ‘Relative location estimation of vehicles in parking management system’. 11th Int. Conf. on IEEE Advanced Communication Technology, ICACT 2009, Phoenix Park, South Korea, 2009.
    32. 32)
      • 32. Bao, X., Zhan, Y., Xu, C., et al: ‘A novel dual microwave Doppler radar based vehicle detection sensor for parking lot occupancy detection’, IEICE Electron. Express, 2017, 14, (1), pp. 112.
    33. 33)
      • 33. Pullola, S., Atrey, P.K., El Saddik, A.: ‘Towards an intelligent GPS-based vehicle navigation system for finding street parking lots’. IEEE Int. Conf. on Signal Processing and Communications, ICSPC 2007, Dubai, United Arab Emirates, 2007.
    34. 34)
      • 34. De Almeida, P.R., Oliveira, L.S., Britto, JrA.S., et al: ‘PKLot–A robust dataset for parking lot classification’, Expert Syst. Appl., 2015, 42, (11), pp. 49374949.
    35. 35)
      • 35. Viola, P., Jones, M.: ‘Rapid object detection using a boosted cascade of simple features’. Proc. of the 2001 IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, CVPR 2001, Kauai, HI, USA, 2001.
    36. 36)
      • 36. Ahrnbom, M., Astrom, K., Nilsson, M.: ‘Fast classification of empty and occupied parking spaces using integral channel features’. Proc. of the IEEE Conf. on Computer Vision and Pattern Recognition Workshops, Las Vegas, NV, USA, 2016.
    37. 37)
      • 37. Ichihashi, H., Notsu, A., Honda, K., et al: ‘Vacant parking space detector for outdoor parking lot by using surveillance camera and FCM classifier’. . IEEE Int. Conf. on Fuzzy Systems, FUZZ-IEEE 2009, Jeju Island, South Korea, 2009.
    38. 38)
      • 38. Huang, C.-C., Tai, Y.-S., Wang, S.-J.: ‘Vacant parking space detection based on plane-based Bayesian hierarchical framework’, IEEE Trans. Circuits Syst. Video Technol., 2013, 23, (9), pp. 113.
    39. 39)
      • 39. Lu, R., Lin, X., Zhu, H., et al: ‘An intelligent secure and privacy-preserving parking scheme through vehicular communications’, IEEE Trans. Veh. Technol., 2010, 59, (6), pp. 27722785.
    40. 40)
      • 40. Bilal, M., Persson, C., Ramparany, F., et al: ‘Multi-agent based governance model for machine-to-machine networks in a smart parking management system’. IEEE Int. Conf. on Communications, Ottawa, 2012.
    41. 41)
      • 41. Rahman, C.A., Badawy, W., Radmanesh, A.: ‘A real time vehicle's license plate recognition system’. Proc. IEEE Conf. on Advanced Video and Signal Based Surveillance, Miami, FL, USA, 2003.
    42. 42)
      • 42. Villegas, O.O.V., et al: ‘License plate recognition using a novel fuzzy multilayer neural network’, Int. J. Comput., 2009, 3, (1), pp. 3140.
    43. 43)
      • 43. Jermsurawong, J., Ahsan, M.U., Haidar, A.: ‘Car parking vacancy detection and Its application in 24-hour statistical analysis’. 10th Int. Conf. on Frontiers of Information Technology, Islamabad, Pakistan, 2012.
    44. 44)
      • 44. Amato, G., Carrara, F., Falchi, F., et al: ‘Deep learning for decentralized parking lot occupancy detection’, Expert Syst. Appl., 2017, 72, pp. 327334.
    45. 45)
      • 45. Bojarski, M., Del Testa, D., Dworakowski, D., et al: ‘End to end learning for self-driving cars’. arXiv preprint arXiv:1604.07316, 2016.
    46. 46)
      • 46. Chen, Z., Xia, J.C., Irawan, B.: ‘Development of fuzzy logic forecast models for location-based parking finding services’, Math. Probl. Eng., 2013, 2013, pp. 16.
    47. 47)
      • 47. ‘Parkopedia - Parking App’, https://en.parkopedia.se/, accessed 05 March 2017.
    48. 48)
      • 48. ‘EasyPark Group - Parking App’, https://easyparkgroup.com/, accessed 05 March 2017.
    49. 49)
      • 49. ‘AppyParking - Parking App’, http://www.appyparking.com/, accessed 05 March 2017.
    50. 50)
      • 50. ‘Alexnet - Convolutional neural networks’, https://se.mathworks.com/help/nnet/ref/alexnet.html, accessed 05 March 2017.
    51. 51)
      • 51. Alarik, O.: ‘Kameraövervakningslagen. 2018, https://www.datainspektionen.se/lagar-och-regler/kameraovervakningslagen/, accessed 25 February 2018.
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