New 'smart parking' system based on resource allocation and reservations

IEEE Transactions on Intelligent Transportation Systems

Volumn 14, Issue 3, 2013, Pages 1129-1139

  Geng, Yanfeng ^a   Cassandras, Christos G ^a  

^a Boston University   (United States)

Author keywords

Dynamic resource allocation; Mixed integer linear programming (MILP); parking guidance and information (PGI); Reservation; Smart parking

Indexed keywords

DYNAMIC RESOURCE ALLOCATIONS; MIXED-INTEGER LINEAR PROGRAMMING; PARKING GUIDANCES; RESERVATION; SMART PARKING;

COST FUNCTIONS; LINEAR PROGRAMMING; OPTIMIZATION;

RESOURCE ALLOCATION;

EID: 84883792523     PISSN: 15249050     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITS.2013.2252428     Document Type: Article

References (33)

1. Z. Aksin,M. Armony, and V. Mehrotra, The modern call center: A multidisciplinary perspective on operations management research, Prod. Oper. Manage., vol. 16, no. 6, pp. 665-688, Nov./Dec. 2007.
2. R. Arnott, T. Rave, and R. Schob, Alleviating Urban Traffic Congestion. Cambridge, MA, USA: MIT Press, 2005.
3. R. Atar, A. Mandelbaum, and M. Reiman, Scheduling a multi-class queue with many exponential servers: Asymptotic optimality in heavytraffic, Ann. Appl. Probab., vol. 15, no. 4, pp. 2606-2650, 2004.
4. I. Benenson, K. Martens, and S. Birr, Parkagent: An agent-Based model of parking in the city, Comput. Environ. Urban Syst., vol. 32, no. 6, pp. 431-439, Nov. 2008.
5. J. Benson, T. Donovan, P. Sullivan, U. Roedig, and C. Sreenan, Car-park management using wireless sensor networks, in Proc. 31st IEEE Conf. Local Comput. Netw., 2006, pp. 588-595.
6. K. Cheung and P. Varaiya, Traffic surveillance by wireless sensor network: Final report, Univ. California, Berkeley, CA, USA, Tech. Rep. UCB-ITS-PRR-2007-4, 2007.
7. S. Chou, S. Lin, and C. Li, Dynamic parking negotiation and guidance using an agent-Based platform, Expert Syst. Appl., vol. 35, no. 3, pp. 805-817, Oct. 2008.
8. M. Gallo, L. D?Acierno, and B. Montella, A multilayer model to simulate cruising for parking in urban areas, Transp. Policy, vol. 18, no. 5, pp. 735-744, Sep. 2011.
9. N. Gans, G. Koole, and A.Mandelbaum, Telephone call centers: Tutorial, review and research prospects, Manuf. Service Oper. Manage., vol. 5, no. 2, pp. 79-141, Apr. 2003.
10. Y. Geng and C. G. Cassandras, Dynamic resource allocation in urban settings: A smart parking approach, in Proc. IEEE Multi-Conf. Syst. Control, 2011, pp. 1-6.
11. Y. Geng and C. G. Cassandras, A new smart parking system based on optimal resource allocation and reservations, in Proc. IEEE Conf. Intell. Transp. Syst., 2011, pp. 979-984.
12. E. Griffith, Pointing the way, ITS Int., Kent, U.K., 2000.
13. I. Gurvich and W. Whitt, Service-Level differentiation in many server service systems: A solution based on fixed-Queue-Ratio routing, Oper. Res., vol. 29, pp. 567-588, Mar./Apr. 2007.
14. S. Halfin and W. Whitt, Heavy-Traffic limits for queues with many exponential servers, Oper. Res., vol. 29, no. 3, pp. 567-588, May/Jun. 1981.
15. T. B. Hodel and S. Cong, Parking space optimization services, a uniformed web application architecture, in Proc. ITS World Congr., 2003, pp. 16-20.
16. G. Koole and A. Pot, Approximate dynamic programming in multi-Skill call centers, in Proc. 37th Conf. Winter Simul., 2005, pp. 576-583. (Pubitemid 46187752)
17. S. Lee, D. Yoon, and A. Ghosh, Intelligent parking lot application using wireless sensor networks, in Proc. Int. Symp. Collab. Technol. Syst., 2008, pp. 48-57.
18. L. Mimbela and L. Klein, A Summary of Vehicle Detection and Surveillance Technologies used in Intelligent Transportation Systems. Las Cruces, NM, USA: Vehicle Detector Clearinghouse, 2000.
19. J. Polak and K. W. Axhausen, Clamp: A macroscopic simulation model for parking policy analysis, presented at the 68th Annu. Meeting Transp. Res., 1989.
20. C. J. Rodier and S. A. Shaheen, Transit-Based smart parking: An evaluation of the San Francisco bay area field test, Transp. Res. C, Emerging Technol., vol. 18, no. 2, pp. 225-233, Apr. 2010.
21. SFpark. [Online]. Available: http://sfpark.org
22. D. Shoup, The High Cost of Free Parking. Chicago, IL, USA: APA Planner, 2005.
23. Streetline. [Online]. Available: http://www.streetlinenetworks.com/
24. D. Teodorovic and P. Lucic, Intelligent parking systems, Eur. J. Oper. Res., vol. 175, no. 3, pp. 1666-1681, 2006. (Pubitemid 44436747)
25. R. G. Thompson and P. Bonsall, Driver?s response to parking guidance and information systems, Transp. Rev., vol. 17, no. 2, pp. 89-104, 1997. (Pubitemid 127660568)
26. R. G. Thompson and A. J. Richardson, A parking search model, Transp. Res. A, Policy Pract., vol. 32, no. 3, pp. 159-170, Apr. 1998.
27. M. Tsai and C. Chu, Evaluating parking reservation policy in urban areas: An environmental perspective, Transp. Res. D, Transp. Environ., vol. 17, no. 2, pp. 145-148, Mar. 2012.
28. H.Wang andW. He, A reservation-Based smart parking system, in Proc. IEEE Comput. Commun. Workshops, 2011, pp. 690-695.
29. B. J. Waterson, N. B. Hounsellm, and K. Chatterjee, Quantifying the potential savings in travel time resulting from parking guidance systems-A simulation case study, J. Oper. Res. Soc., vol. 52, no. 10, pp. 1067-1077, 2001. (Pubitemid 34191537)
30. J. Wenger and U. Daimler-Benz, Automotive mm-wave radar: Status and trends in system design and technology, in Proc. Automot. Radar Navigat. Tech., 1998, vol. 230, pp. 1/1-1/7.
31. J. Wolff, T. Heuer, M. H. Gao, S. Weinmann, and U. Voit, Parking monitor system based on magnetic field sensor, in Proc. IEEE Intell. Transp. Syst. Conf., 2006, pp. 1275-1279. (Pubitemid 351492347)
32. K. Yamada and M. Mizuno, A vehicle parking detection method using image segmentation, Electron. Commun. Jpn. 3-Fundam. Electron. Sci.), vol. 84, no. 10, pp. 25-34, Oct. 2001.
33. W. Young, Parksim 1.1 Users Manual, Department of Civil Engineering. Melbourne, VIC, Australia: Monash Univ., 1991.