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SmartParking: A Secure and Intelligent Parking System Using NOTICE

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Gongjun Yan, Stephan Olariu, Michele C. Weigle and Mahmoud Abuelela, “SmartParking: A Secure and Intelligent Parking System Using NOTICE,” In Proceedings of the International IEEE Conference on ...

Gongjun Yan, Stephan Olariu, Michele C. Weigle and Mahmoud Abuelela, “SmartParking: A Secure and Intelligent Parking System Using NOTICE,” In Proceedings of the International IEEE Conference on Intelligent Transportation Systems. Beijing, China, October 2008, pp. 569–574.

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SmartParking: A Secure and Intelligent Parking System Using NOTICE SmartParking: A Secure and Intelligent Parking System Using NOTICE Presentation Transcript

  • Introduction The SmartParking SmartParking: A Secure and Intelligent Parking System Using NOTICE Professor: Dr. Stephan Olariu September 5, 2008 Professor: Dr. Stephan Olariu SmartParking: A Secure and Intelligent Parking System Using NO
  • Introduction The SmartParking Introduction Parking is limited in major cities Manhattan Central Business District: approximately rate 1 spot : 16 workers Often parking spots are wasted. Professor: Dr. Stephan Olariu SmartParking: A Secure and Intelligent Parking System Using NO
  • Introduction The SmartParking Continued ... Near-term parking demand: innovative parking systems New technologies can help: wireless communications, computer, control, and electronics technologies. We propose SmartParking A novel, secure and intelligent parking system Using framework of NOTICE [WO07, AOW08] Prevents most security/privacy attacks View and reserve a parking spot on the fly The parking process can be a straightforward and non-stop process. Professor: Dr. Stephan Olariu SmartParking: A Secure and Intelligent Parking System Using NO
  • Introduction The SmartParking NOTICE Embedding sensor belts in the road at regular intervals Piezoelectric pressure sensors Every message is carried by a physical vehicle passing over the belt Professor: Dr. Stephan Olariu SmartParking: A Secure and Intelligent Parking System Using NO
  • Introduction The SmartParking SmartParking Layout Vacant parking capacity information received at Si -bi Vehicles pick up the capacity information at belt bi . Reservation orders sent at bi+1 and bi+2 . Reservation feedback received at bi+3 Professor: Dr. Stephan Olariu SmartParking: A Secure and Intelligent Parking System Using NO
  • Introduction The SmartParking SmartParking Layout Vacant parking capacity information received at Si -bi Vehicles pick up the capacity information at belt bi . Reservation orders sent at bi+1 and bi+2 . Reservation feedback received at bi+3 Professor: Dr. Stephan Olariu SmartParking: A Secure and Intelligent Parking System Using NO
  • Introduction The SmartParking SmartParking Layout Vacant parking capacity information received at Si -bi Vehicles pick up the capacity information at belt bi . Reservation orders sent at bi+1 and bi+2 . Reservation feedback received at bi+3 Professor: Dr. Stephan Olariu SmartParking: A Secure and Intelligent Parking System Using NO
  • Introduction The SmartParking User Interface User terminals (e.g. PDAs, cell phones, vehicle display, and laptops) Slot L3-4 is selected. Professor: Dr. Stephan Olariu SmartParking: A Secure and Intelligent Parking System Using NO
  • Introduction The SmartParking Check in Belt & infrared are used for double check Light is for signal misparking, idle, or normal-parking. Professor: Dr. Stephan Olariu SmartParking: A Secure and Intelligent Parking System Using NO
  • Introduction The SmartParking Parking Chain Professor: Dr. Stephan Olariu SmartParking: A Secure and Intelligent Parking System Using NO
  • Introduction The SmartParking continued ... Professor: Dr. Stephan Olariu SmartParking: A Secure and Intelligent Parking System Using NO
  • Introduction The SmartParking Simulation Scenario one: First-come-first-serve Arrive at or exit: Poisson Process If divers can not find a parking spot, try 3 time before give up Scenario Two (SmartParking): Reserve a parking spot Arrive at or exit: the same Poisson Process 1% of drivers will mispark; the remaining 99% of drivers obey the reservation Common Parameters: The average arrival rate is 0.5 vehicle/min [AK94] 2000 parking spots The simulation parameters and values are listed in Table 11. Professor: Dr. Stephan Olariu SmartParking: A Secure and Intelligent Parking System Using NO
  • Introduction The SmartParking Parameters and Values Parameters Values Exit booth service rate 5 vehicles/min Entry booth service rate 20 vehicles/min Number of exit booths 5 Number of entry booths 1 Average arrival rate 0.5 vehicle/min Average exit rate 0.5 vehicle/min Average parking time 1.5 hour Professor: Dr. Stephan Olariu SmartParking: A Secure and Intelligent Parking System Using NO
  • Introduction The SmartParking Parking Spot Searching Time Professor: Dr. Stephan Olariu SmartParking: A Secure and Intelligent Parking System Using NO
  • Introduction The SmartParking Parking Utilization Professor: Dr. Stephan Olariu SmartParking: A Secure and Intelligent Parking System Using NO
  • Introduction The SmartParking Reference Y. Asakura and M. Kashiwadani. Effects of parking availability information on system performance:a simulation model approach. In Proceedings of Vehicle Navigation and Information Systems Conference, pages 251–254, Dearborn, MI, Aug 1994. M. Abuelela, S. Olariu, and M. C. Weigle. NOTICE: An architecture for notification of traffic incidents. In Proceedings of the IEEE Vehicular Technology Conference - Spring, pages 3001–3005, Singapore, May 2008. M. C. Weigle and S. Olariu. Intelligent highway infrastructure for planned evacuations. In Proceedings of the First International Workshop on Research Challenges in Next Generation Networks for First Responders and Critical InfrastructuresSecure and Intelligent Parking System Using NO Professor: Dr. Stephan Olariu SmartParking: A (NetCri), pages
  • Introduction The SmartParking Thank you! Professor: Dr. Stephan Olariu SmartParking: A Secure and Intelligent Parking System Using NO