【正文】 提出的模糊系統(tǒng)允許連續(xù)停車要求的檢測(cè)和模糊規(guī)則庫(kù)的間斷更新。拒絕或接受司機(jī)停車的數(shù)量應(yīng)該作為顧客滿意程度的尺度。 正如我們先前指出，任何停車定價(jià)策略的主要作用是在一定的時(shí)間階段內(nèi)減少車輛旅行的總數(shù)量。這的確是一個(gè)基本的公共領(lǐng)域的目標(biāo)。 然而，在我們的模型中，我們集中精力在停車管理收入的最大化，那個(gè)一個(gè)私營(yíng)部分的目標(biāo)。這倆個(gè)目標(biāo)可能看起來是不一致的，人們會(huì)質(zhì)問后者會(huì)怎么達(dá)到前者所要減少車輛旅行的目標(biāo)。 市場(chǎng)細(xì)分是這樣一種情況，不同的司機(jī)愿意為相同的東西付不同的價(jià)錢。我們先前已經(jīng)說明了一個(gè)倆種類型的司機(jī)，商人和一個(gè)靠養(yǎng)老金生活的老人 — 生意人愿意在開會(huì)十五分鐘前停車付更高的停車費(fèi)，而一個(gè)靠養(yǎng)老金生活的老人為了更低的停車費(fèi)，要和妻子徒步穿越市中心，提前一天預(yù)訂車位。然而，即時(shí)最富有的商人也不愿意為短暫的停車位支付上億美元。只是，停車需求的數(shù) 量刻畫了不同群體的司機(jī)，市場(chǎng)細(xì)分根據(jù)這種行為得到實(shí)施（定義 2,3 或者 10 種不同類型的司機(jī)或者停車位），同樣針對(duì)不同的停車類型有不同的停車費(fèi)。在極端的情況下，不是根據(jù)市場(chǎng)細(xì)分模式和停車費(fèi)免費(fèi)提供，理論上只有最富有的人才會(huì)開車。在這種情況下，即時(shí)在一段時(shí)間內(nèi)車輛旅行的總數(shù)量會(huì)減少，但是社會(huì)的抱怨肯定會(huì)到達(dá)某種程度。因此，收入最大化可以通過給特定的司機(jī)和停車類型留一定的停車位數(shù)量取得。通過這種指定限制的介紹，保護(hù)老人，殘疾人和其它層次司機(jī)的停車位也是可行的。 司機(jī)是否會(huì)接受停車預(yù)定系統(tǒng)和稅收管理系統(tǒng)是未知的。進(jìn)一 步的研究將會(huì)檢查智能停車系統(tǒng)能否減少停車場(chǎng)前的隊(duì)伍，車輛旅行的總數(shù)量，平均旅行時(shí)間，能源消耗，還有空氣污染。 致謝 在此感謝那些匿名的評(píng)論和建議，大大提高了這篇文章。 參考文獻(xiàn) [1]Arnott,R.,Rowse,J., of Urban Economics 45,97–124. 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[23]′,′/European Journal of Operational Research 175(2021)1666–1681 1681 附件 2：外文原文 （復(fù)印件） Intelligent parking systems Abstract The basic concepts of the parking reservation system and parking revenue management system are discussed in this proposed＂intelligent＂ parking space inventory control system that is based on a bination of fuzzy logic and integer programming techniques makes＂on line＂ decisions whether to accept or reject a new drivers request for the first step of the proposed model,the best parking strategies are developed for many dfferent patterns of vehicle parking strategies are developed using integer programming the second step,learning from the best strategies,specific rules are uniqueness of the proposed approach is that the rules are derived from the set of chosen examples assuming that the future traffc arrival patterns are results were found to be close to the best solution assuming that the future arrival pattern is known. Keywords:Traffc。Uncertainty modeling。Control。Parking。Fuzzy logic 1. Introduction Every day a significant percentage of drivers in singleoccupancy vehicles search for a parking space. Additionally,less experienced drivers or outoftowners further contribute to the increase of traffc for a vacant parking space is a typical example of a search parking search strategy is posed of a set of vague is usually diffcult to describe these rules type of the planned activity,time of a day,day of the week,current congestion on particular routes,knowledge of city streets,and potentially available parking places have significant influence on a chosen parking search the last four decades numerous parking search models have been developed .In many decisionmaking situations in transportation（ modal split,choice of air carrier,choice of airport,etc.） the petitive alternatives and their characteristics are reasonably well known in advance to the decision maker(passenger,driver).On the other hand,the driver`s usually discover different parking alternatives one by one in a temporal ,this temporal sequence has a very strong influence on the drivers final decision about the parking place. During,the,past,two,decades,traffc,authorities,in,many,cities,Helsinki,Cologne,Mainz,Stuttgart,Wiesbaden,Aalb,Hague have started to inform and guide drivers to parking facilities with realtime variable message signs[directional arrows,names of the parking facilities,status（ full,not full,number of available parking spaces,etc.） ]. Information about the number of available parking spaces could be displayed on the major roads,streets and intersections,or it could be distributed through the Inter. It is logical to ask the quest