A study on smart parking guidance algorithm

Transportation Research Part C: Emerging Technologies

Volumn 44, Issue , 2014, Pages 299-317

  Shin, Jong Ho ^a   Jun, Hong Bae ^b  

^a Ulsan National Institute of Science and Technology   (South Korea)

^b Hong Ik University   (South Korea)

Author keywords

City transportation management; Parking facility; Parking guidance algorithm; Smart parking guidance

Indexed keywords

ENERGY UTILIZATION; GENETIC ALGORITHMS;

DRIVING DISTANCE; INTELLIGENT SOLUTIONS; PARKING FACILITIES; PARKING GUIDANCES; SIMULATION TESTS; SMART PARKING; SPATIAL RESOURCES; TRANSPORTATION MANAGEMENT;

TRAFFIC CONGESTION;

ALGORITHM; COMPUTER SIMULATION; PARKING; PUBLIC SPACE; REAL TIME; TRAFFIC CONGESTION; URBAN TRANSPORT; TRANSPORTATION DEVELOPMENT;

EID: 84900825042     PISSN: 0968090X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trc.2014.04.010     Document Type: Article

References (28)

1. Arnott R., Rave T., Schöb R. Alleviating Urban Traffic Congestion 2005, MIT Press.
2. Benenson I., Martens K., Birfir S. PARKAGENT: an agent-based model of parking in the city. Comput. Environ. Urban Syst. 2008, 32(6):431-439.
3. Bonsall P., Palmer I. Modelling drivers' car parking behaviour using data from a travel choice simulator. Transport. Res. Part C: Emerg. Technol. 2004, 12(5):321-347.
4. Caicedo F. Real-time parking information management to reduce search time, vehicle displacement and emissions. Transport. Res. Part D: Transp. Environ. 2010, 15(4):228-234.
5. Caicedo F., Blazquez C., Miranda P. Prediction of parking space availability in real time. Expert Syst. Appl. 2012, 39(8):7281-7290.
6. Caliskan, M., Barthels, A., Scheuermann, B., Mauve, M., 2007. Predicting Parking Lot Occupancy in Vehicular Ad Hoc Networks. In: IEEE 65th Conference on Vehicular Technology, 2007.
7. Chou S.-Y., Lin S.-W., Li C.-C. Dynamic parking negotiation and guidance using an agent-based platform. Expert Syst. Appl. 2008, 35(3):805-817.
8. Geng Y., Cassandras C.G. A new "Smart Parking" system infrastructure and implementation. Procedia - Soc. Behav. Sci. 2012, 54:1278-1287.
9. Giuffrè T., Siniscalchi S.M., Tesoriere G. A novel architecture of parking management for smart cities. Procedia - Soc. Behav. Sci. 2012, 53:16-28.
10. Hanif, N.H.H.M., Badiozaman, M.H., Daud, H., 2010. Smart parking reservation system using short message services (SMS). In: 2010 International Conference on Intelligent and Advanced Systems (ICIAS).
11. Hensher D.A., King J. Parking demand and responsiveness to supply, pricing and location in the Sydney central business district. Transport. Res. Part A: Policy Practice 2000, 35(3):177-196.
12. Hongwei, W., Wenbo, H., 2011. A Reservation-based Smart Parking System. In: 2011 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).
13. Jonkers, E., Van Noort, M., Van der Veen, J.L., 2011. Parking guidance - modelling, simulation and impact assessment. In: 14th International IEEE Conference on Intelligent Transportation Systems (ITSC), 2011.
14. Lam W.H.K., Li Z.-C., Huang H.-J., Wong S.C. Modeling time-dependent travel choice problems in road networks with multiple user classes and multiple parking facilities. Transport. Res. Part B: Meth. 2006, 40(5):368-395.
15. Leephakpreeda T. Car-parking guidance with fuzzy knowledge-based decision making. Build. Environ. 2007, 42(2):803-809.
16. Mei Z., Xiang Y., Chen J., Wang W. Optimizing model of curb parking pricing based on parking choice behavior. J. Transport. Syst. Eng. Inf. Technol. 2010, 10:99-104.
17. Mei, Z., Tian, Y., Li, D., 2012. Analysis of Parking Reliability Guidance of Urban Parking Variable Message Sign System. Mathematical Problems in Engineering, 2012.
18. Seong-Eun, Y., Kit, C.P., Taehong, K., Jonggu, K., Daeyoung, K., Changsub, S., Kyungbok, S., Byungtae, J., 2008. PGS: Parking Guidance System based on wireless sensor network. In: 3rd International Symposium on Wireless Pervasive Computing, 2008. ISWPC 2008.
19. Shi, A., Bo, H., Jian, W., 2004. Study of the mode of real-time and dynamic parking guidance and information systems based on fuzzy clustering analysis. In: Machine Learning and Cybernetics, 2004.
20. Song, J., Wen, Z., 2011. Study on urban parking guidance information system design. In: Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies.
21. Soup D. Cruising for parking. Access 2007, 30:16-22.
22. Teodorović D., Lučić P. Intelligent parking systems. Eur. J. Oper. Res. 2006, 175(3):1666-1681.
23. The Centre of Regional Science (SRF), 2007. Smart Cities - Ranking of European Medium-Sized Cities. Vienna UT.
24. Thompson R.G., Bonsall P. Drivers' response to parking guidance and information systems. Transp. Rev. 1997, 17(2):89-104.
25. Thompson R.G., Takada K., Kobayakawa S. Optimisation of parking guidance and information systems display configurations. Transport. Res. Part C: Emerg. Technol. 2001, 9(1):69-85.
26. Waterson B.J., Hounsell N.B., 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):1067-1077.
27. Wilbur-Smith Associates, 2009. Feasibility study of real time parking information at Metrorail parking facilities-Virginia Stations. Washington Metropolitan Area Transit Authority. http://www.wmata.com/pdfs/planning/Real_Time_Parking_Study.pdf.
28. Yanfeng, G., Cassandras, C.G., 2011. Dynamic resource allocation in urban settings: a smart parking approach. In: 2011 IEEE International Symposium on Computer-Aided Control System Design (CACSD).