【導(dǎo)讀】式的車輛到達(dá)提供最好的停車策略。規(guī)則都是源自選擇假設(shè)未來交通停車模式是眾所周知的一系列例子。在假設(shè)未來的停車模式都是眾所周知的條件下發(fā)現(xiàn)接近最好的解決方法。此外，缺乏經(jīng)驗(yàn)的司機(jī)?；蛘咄獾剀囘M(jìn)一步加劇了交通堵塞。每一個(gè)停車搜索策略是由一組模糊規(guī)則組成。計(jì)劃活動的類型，一天中的那個(gè)時(shí)間，一星期中的那天，目前在特定線路的。行方式，航空承運(yùn)人的選擇，機(jī)場的選擇等等）要決策的情況下，決策者（旅客，的最終決定停車位有非常大的影響。當(dāng)前實(shí)踐表明停車引導(dǎo)系統(tǒng)。通常是不改變停車率或平均停車時(shí)間。在這份調(diào)查中提出了停車預(yù)定系統(tǒng)和停車收益管理系統(tǒng)的概念。在全世界大部分城市司機(jī)支付使用不同的停車設(shè)施。價(jià)格能夠明顯減少交通擁擠。稅，對上下班交通車合用小組提供特殊的停車折扣。雅圖官方在市中心的倆個(gè)停車場為共乘車顯著降低了關(guān)稅。供優(yōu)惠停車、考慮低收入家庭、保護(hù)附近街道防止非法停車都是很重要的。停車位可以非常容易提前預(yù)定。

　　

【正文】 t a certain moment in in other intelligent systems,the―intelligent‖parking space inventory control system should be able to generalize,adapt,and learn based on new knowledge and new information. The developed―intelligent‖system is based on fuzzy results reached during the past several years(Wang and Mendel,1992)have indicated that fuzzy logic systems are universal approximators and this explains why fuzzy logic systems are so successful in engineering applications. 6. The algorithm to create intelligent parking spaces inventory control system The fuzzy rules of the―intelligent‖reservation system are generated based on the procedures proposed by Wang and Mendel(1992). The algorithm to create the fuzzy system developed in this paper consists of the following steps: Step 1:Based on a large number of parking activities in garage in question,create the cumulatives(Ei(t),Di(t)). Step 2:Formulate a corresponding integer programming problem and find the optimal solution for each generated―scenario‖. Step 3:Based on the statistical data resulting from Steps 1 and 2,use the Wang–Mendel`s algorithm to generate the fuzzy rule fuzzy rule base corresponds to one tariff class. 7. Results obtained using the intelligent parking space inventory control system The developed model was tested on ten（ 10） different numerical examples considered differed in parking size,requests` arrival distribution and service （ parking time） the examples have in mon the following values： Dt=300seconds；tetb=8hours； m=3。T0=3$/hour； T1=$/hour； T2=$/ probability density function was used to generate vehicle arrivals and servic（ parking） first have produced ten examples to generate fuzzy rule bases(training data set)and than we tested developed model on ten new generated examples(control data set). One of the examples used to generate fuzzy rule bases is shown in Table column(xij)represents integer programming solution of the problem(P).In the next step,we prepare a set of input–output data pairs(statistical data)in order to apply the Wang–Mendel`s algorithm for fuzzy rule bases example of input–output data pairs is given in Table 2. After building all fuzzy rule bases(in this example m=3)we generate new set of ten parking request patterns and proceed with test parison was made between the results obtained using the―intelligent‖system and those obtained using integer parison was also made between the results obtained using the―intelligent‖system and those obtained using FIFO rule(in our case ,FIFO rule means that the parking request is accepted immediately if there is vacant parking space).The results obtained are shown in Table 3 and in all considered cases FL solution was significantly better than the FIFO integer programming results are the maximum revenue values attainable when the future is known(ideally predicted).Bearing this fact in mind,as well as the fact that the―intelligent‖system operates in an online regime in conditions of uncertainty,it can be concluded that good results would be achieved using the intelligent parking space inventory control system. 8. Conclusion The proposed model belongs to the category of―realtime‖reservation output of the model is a decision(made in real time)to accept/reject requested parking clarify,the proposed model tells each ining request,either:―Yes,you can e and park‖,or:―No,you cannot park at this time‖.The decision to accept or reject a requested parking activity is contingent upon the current state of the parking system（ including cancellations， no shows， space availability，etc） .The proposed fuzzy system allows for continuous monitoring of parking requests and occasional updating of the fuzzy rule numbers of accepted and/or rejected drivers from certain driver types could be used as measures of customer satisfaction. As we have indicated previously,the main role of any parking pricing strategy should be to reduce the total number of vehicle trips during certain time is indeed one of the essential public sector ,in our model,we have focused on the maximization of revenue for the parking management,which is,above all,very much a private sector two objectives might seemingly appear to be inconsistent with each other and one could question how the latter relates to the former objective of reducing total vehicle trips during certain time periods. Market segmentation entails a situation in which different drivers agree to pay different prices for the same have previously illustrated an example of two types of drivers,a businessman and a pensioner—while a businessman who wants to park a car near a meeting place 15 minutes prior to the meeting is prepared to pay a much higher parking fee,a pensioner planning to walk with his wife through the downtown would make parking reservation a day in advance in order to pay a lower parking ,even the wealthiest businessman would not agree to pay a million dollars for shortterm ,it bees obvious that the number of parking demands,which depict di?erent groups of drivers over time,depend on the manner in which market segmentation has previously been carried out(such as defining two,three,...or ten different types of drivers and/or types of parking),as well as parking fees that apply for certain types of extreme cases,depending on the mode of market segmentation,as well as the parking fees that are being offered,theoretically only the wealthiest would be able to such instances,even though the total number of vehicle trips would decrease in certain time periods,the social injustices would certainly increase to an ,maximizing revenue can be achieved with constraints associated with protected number of parking spaces reserved for particular drivers,as well as parking simple introduction of spec