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   A Smart Hybrid System for Parking Space Reservation in VANET  
نویسنده rad farhad ,pazhokhzadeh hadi ,parvin hamid
منبع journal of advances in computer engineering and technology - 2017 - دوره : 3 - شماره : 1 - صفحه:11 -18
چکیده    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.
کلیدواژه VANET ,Multi-Objective Genetic Algorithm ,ANFIS ,Reservation
آدرس islamic azad university, yasooj branch, department of computer engineering, ایران, islamic azad university, boushehr branch, department of computer engineering, ایران, islamic azad university, mamasani branch, department of computer engineering, ایران

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