Research On Parking Selection Model Based On Reservation Mode

At present,the problem of urban parking has been a difficult problem which puzzle travelers and parking managers,On the one hand the driver could not find a parking lot or constantly seeking to find a parking lot when traveling;the other hand,The driver can not find the best parking space and can not successfully reach the designated parking spaces in the large-scale parking lot;therefore,if the driver can use the Internet,mobile phone or public information platform to make a parking reservation before the trip,To recommend the optimal parking lot and parking space for drivers when making parking options will make driving trips more planned and meet the driver's requirements for trip punctuality and vehicle parking convenience,Thereby effectively improving the current situation of parking difficult.Firstly,This paper summarize the relevant research theory and application status of domestic about parking reservation at home and abroad.On this basis,combining with the questionnaire survey and analysis of parking reservation,the feasibility of parking reservation is verified,and the paper put forward a Reservation-based Smart Parking Guidance System,and from the system function to analyze the overall framework,logical structure and structure data flow of the system.It clarifies the service object of the system,improves the reservation service mode,and analyzes the system reservation mode.Secondly,establishing the parking lot selection model under the parking reservation.According to the characteristics of the parking lot selection under the parking reservation,the main influencing factors of the parking lot selection are determined through the investigation and analysis,and the reliability factors of the parking lot are analyzed and studied.According to the characteristics of the parking lot selection decision determines the gray entropy decision method,In the full consideration of the user's subjective wishes on the basis of the decision-making indicators are empowered,and put forward the optimal parking lot selection model based on the gray entropy decision method to realize the goal of recommending the optimal parking lot for the user.And then focus on the parking space selection model under the parking reservation.The parking space selection process mainly includes the preliminary screening of the parking spaces and the determination of the optimal parking spaces under the parking reservation.From the optimal point of view of the system,The parking lot selection set is determined both the precise reservation and the fuzzy reservation by the preliminary screening of the parking spaces.Then,combing with influencing factors of the parking spaces selection,the evaluation index is quantified from the user's optimal point of view,and the entropy weight method is used to analyze and calculate the weight of the index,The optimal parking space selection model based on the gray entropy recommend the best parking space for the user in the selected parking spaces.Finally,taking the parking lot in Xiaozhai area of Xi'an as an example,the research results of the paper are applied and transformed,and the validity of the model is verified by case analysis.