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Information Journal Paper

Title

A SMART HYBRID SYSTEM FOR PARKING SPACE RESERVATION IN VANET

Pages

  11-17

Abstract

 Nowadays, developed and developing countries using smart systems to solve their transportation problems. Parking guidance intelligent systems for finding an available parking space, are considered one of the architectural requirements in transportation. In this paper, we present a parking space RESERVATION method based on adaptive neuro-fuzzy system (ANFIS) and MULTI-OBJECTIVE GENETIC ALGORITHM. In modeling of this system, final destination, searching time and cost of parking space have been used. Also, we use the vehicle ad-hoc network (VANET) and time series, for traffic flow predict and choose the best path. The benefits of the proposed system are declining searching time, average the walking and travel time. Evaluations have been performed by the MATLAB and we can see that the proposed method makes a good sum of best cost which is useful and meaningful in a parking space reserved for drivers and facility managers.

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    APA: Copy

    RAD, FARHAD, PAZHOKHZADEH, HADI, & PARVIN, HAMID. (2017). A SMART HYBRID SYSTEM FOR PARKING SPACE RESERVATION IN VANET. JOURNAL OF ADVANCES IN COMPUTER ENGINEERING AND TECHNOLOGY, 3(1), 11-17. SID. https://sid.ir/paper/346277/en

    Vancouver: Copy

    RAD FARHAD, PAZHOKHZADEH HADI, PARVIN HAMID. A SMART HYBRID SYSTEM FOR PARKING SPACE RESERVATION IN VANET. JOURNAL OF ADVANCES IN COMPUTER ENGINEERING AND TECHNOLOGY[Internet]. 2017;3(1):11-17. Available from: https://sid.ir/paper/346277/en

    IEEE: Copy

    FARHAD RAD, HADI PAZHOKHZADEH, and HAMID PARVIN, “A SMART HYBRID SYSTEM FOR PARKING SPACE RESERVATION IN VANET,” JOURNAL OF ADVANCES IN COMPUTER ENGINEERING AND TECHNOLOGY, vol. 3, no. 1, pp. 11–17, 2017, [Online]. Available: https://sid.ir/paper/346277/en

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