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类型智能停车场论文翻译英文.doc

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    1、Intelligent parking systemAbstract摘要The basic基础 concepts概念 of the parking停车场 reservation system预定系统 and parking revenue management system 收益管理系统are discussed讨论 in this paper. The proposed intelligent提出智能化 parking space inventory control system剩余车位控制系统 that is based基础上 on a combination结合 of fuzzy log

    2、ic模糊逻辑 and integer programming techniques 整数编程技术makes on line 联机 decisions决定 whether to accept or reject a new drivers request for parking停车场是否接收新来车辆. In the rst step第一步 of the proposed model提出模型,. These parking strategies 策略are developed开发 using 使用integer 整体programming 规划approach方式. In the second s

    3、tep 2, learn-ing from the best strategies策略, specic rules规则 are dened. The uniqueness独特性 of the proposed approach提出的方法 is that the rules规则 are derived派生的 from the set放置 of chosen挑选 examples例子 assuming that the future traffic arrival patterns模式 are known. The results结果 were found to be close to the b

    4、est solution assuming that the future arrival pattern is known.Keywords关键词: Traffic交通; Uncertainty modeling不确定建筑; Control管理; Parking停车场; Fuzzy logic模糊逻辑1.IntroductionEvery day a signicant percentage of drivers in single-occupancy vehicles search for a parking space. Additionally, less experienced dr

    5、ivers or out-of-towners further contribute to the increase of traffic congestion. Search for a vacant parking space is a typical example of a search process. Every parking search strategy is composed of a set of vague rules. It is usually difficult to describe these rules explicitly. The type of the

    6、 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 signicant inuence on a chosen parking search strategy. During the last four decades numerous parking search models have been developed

    7、(Vander Goot, 1982; Axhausen and Polak, 1991; Polak and Axhausen, 1990; Young et al., 1991a,b; saltzman, 1997; Shoup, 1997; Steiner, 1998; Thompson and Richardson, 1998; Arnott and Rowse, 1999; Tam and Lam, 2000; Wong et al., 2000; Waterson et al., 2001). In many decision-making situations in transp

    8、ortation (modal split, choice of air carrier, choice of airport, etc.) the competitive alternatives and their characteristics are reasonably well known in advance to the decision maker (passenger, driver). On the other hand, the drivers usually discover diffierent parking alternatives one by one in

    9、a temporal sequence. Clearly, this temporal sequence has a very strong inuence on the drivers nal decision about the parking place.During the past two decades, traffic authorities in many cities (Helsinki, Cologne, Mainz, Stuttgart, Wiesbaden, Aalborg, Hague) have started to inform and guide drivers

    10、 to parking facilities with real-time var-iable 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 intersecti

    11、ons, or it could be distributed through the Internet.It is logical to ask the question about the benets of the parking guidance systems. Current practice shows that parking guidance systems usually do not change the occupancy rate or average parking duration. Drivers easily become familiar with the

    12、parking guidance systems, and majority of them use, thrust and appreciate the help of the systems. Guidance systems signicantly increase the probability of finding vacant parking space, mitigate frustration of the driversvisitors unfamiliar with the city center, decrease the queues in front of parki

    13、ng garages, decrease the total amount of vehicle-miles traveled (particularly in the city centers), decrease the average trip time, energy consumption, and air pollution. Parking guidance system is a part of comprehensive parking policy and traffic management system, whose other elements are street

    14、parking control (including sanctions for the illegally parked vehicles), parking fare structure, and parking revenue management system.Parking guidance systems help drivers to nd vacant parking spaces when they are already on the network, and approaching their nal destination. Throughout this resear

    15、ch the concepts of the parking reservation system and parking revenue management system are proposed. Such systems would help drivers to nd a vacant parking space even before beginning their trip. The proposed intelligent parking space inventory control system that is based on the combination of sim

    16、ulation, optimization techniques, and fuzzy logic makes real-time decisions as to whether to reject or accept a new request for parking. The proposed methodology could be applied for parking lots and parking garages in cities and at the big international airports.The paper is organized as follows: P

    17、arking-pricing problems are presented in Section 2. Analogies between parking problems and some other industries are presented in Section 3. The parking revenue management system is introduced in Section 4, and the Intelligent parking space inventory control system is introduced in Section 5. The al

    18、gorithm to create intelligent parking spaces inventory control system is presented in Section 6. Results obtained with the intelligent parking system are given in Section 7, and Sec-tion 8 presents the concluding remarks and further research orientations.2.parking pricingIn majority of cities throug

    19、hout the world drivers pay for using different parking facilities. In some instances, traffic congestion can be significantly reduced as a result of parking price. The parking revenue is usually used to cover parking facility costs (access gates, ticket printers, parking meters, parking signs, atten

    20、dants), or to improve some other traffic and transportation activities. Different parking pricing strategies should be a part of the comprehensive solution approach to the complex traffic congestion problems. There is no doubt that parking pricing represents one of the important demand management st

    21、rategies. Forexample, traffic authorities, local governments and private sector could introduce higher parking tariffs for solo drivers or for long-term parkers in congested city areas. They could provide special parking discounts to vanpoolers. Obviously parking pricing should be carefully studied

    22、in the context of the considered city area (down-town, residential, commercial, retail use areas).In some cities (Madison, Wisconsin) there are already time dependent parking fees that force commuters to switch to diffierent alternatives of public transportation (http:/danenet.wicip.org/bcp/Parking.

    23、html). Trying to promote public transit San Francisco traffic authorities increased parking tariffs at public and commercial garages. The Chicago authorities raised parking rates few times (www.fta.dot.gov/fta/library/planning/tdmstatus/ftaprkng.htm). As a consequence, the total number of cars parke

    24、d significantly decreased, as well as parking duration time. The greatest decrease was in the number of all day parkers. Authorities in Seattle signicantly reduced parking tariffs for carpool at two Seattle parking facilities in downtown (ntl.bts.gov/DOCS/mtp17b.html). Active role in parking pricing

    25、 strategies could also have employers paying for employees parking. Employers who remove parking subsidies for the employees could significantly decrease the total number of solo drivers. The main role of any parking pricing strategy should be reducing the total number of vehicle trips during certai

    26、n time periods, shifting commuters to alternative transportation modes, and to different parking locations. At the same time, when trying to implement any parking strategy, it is very important to provide enough parking space for shoppers, to provide preferential parking for residents in considered

    27、city area, to provide preferential parking for different parking locations, to consider low income families, and to protect streets in the neighborhood from illegal parking.The basic economic concepts of supply and demand should be more utilized when solving complex traffic congestion and parking pr

    28、oblems (Vickrey, 1969, 1994; Verhoef et al., 1995). So-called value pricing is also known as congestion pricing, or variable tolling. The basic idea behind the concept of congestion pricing is to force drivers to travel and use transportation facilities more during off-peak hours and less during pea

    29、k hours. The idea of congestion pricing is primarily connected with the road (drivers pay for using private, faster roads, drivers with lower vehicle occupancy pay for using High Occupancy Vehicle lanes, drivers pay more to enter citys downtown on weekdays) or airport operators (more expensive landi

    30、ng fees during peak hours). In the context of parking problems, this means: (a) that different parking tariffs should exist for different users; (b) that the parking fees should increase and/or decrease few times during a day.3.Parking problems and revenue management systems: Analogies with some oth

    31、er industriesAirline industry, hotels, car rental, rail, cruise, healthcare, broadcast industry, energy industry, golf,equipment rental, restaurant, and other industries are utilizing revenue management concepts when selling their products (Cross, 1997). Revenue management could be described as a gr

    32、oup of different scientic techniques of managing the company revenue when trying to deliver the right product to the right client at the right price at the right time. The roots of the revenue management are in the airline industry. The basic characteristics of the industries to which different reve

    33、nue management concepts were successfully applied are: (a) variable demand over time; (b) variable asset utilization; (c) perishable assets; (d) limited resources; (e) market segmentation; (f) adding new capacity is expensive, difficult or impossible; (g) direct cost per client is negligible part of

    34、 the total cost of making service available; (h) selling products in advance. The main characteristics of the parking space inventory control problems are the following: Parking demand is variable over time. Like hotel rooms, or restaurant chairs, parking spaces also have daily opportunity to be sol

    35、d (used by clients). Any parking lot or garage has limited number of parking spaces that can be used by drivers Market segmentation means that different customers are willing to pay different prices for the same asset (hotel room, airline seat, seat in a rented car). Businessman wanting to park a ca

    36、r near a meeting point 15 minutes before the meeting would be ready to pay much higher parking fee than a pensioner planning to walk with his wife through the downtown, who made parking reservation four day in advance. Building new garages and parking lots could be very expensive and sometimes very

    37、difficult. Parking places can be easily reserved in advance.Introducing and developing parking reservation system (created in an Internet and cell phone environ-ment) would present further improvement in modern parking technologies. Drivers would be advised and guided before beginning of the trip, a

    38、s well as during the trip. Parking reservation system should be coupled with the parking revenue management system. In this way, parking operators and traffic authorities would be able to implement different parking strategies. Once the driver is allowed to park, it is possible to implement internal

    39、 garage guidance system that guides the driver to an empty parking place.4.Introducing parking revenue management systemLet us assume that we have parking reservation system. Drivers make their requests for parking at random moments of time (by phone from home, by cell phone while driving, through t

    40、he Internet, etc.).A certain number of drivers would maybe cancel their reservations before beginning of the parking.These cancellations would also be made at random moments of time. Like in some other industries, a certain number of drivers would not appear in parking garage for which they have a c

    41、on-rmed reservation and purchased ticket. Would these drivers be penalized for their behavior? Depending on ration between parking demand and parking supply, the answer could be Yes or No.Reservation system should be exible enough allowing some drivers to appear right before wished beginning of park

    42、ing, looking for an empty space in a garage, even though they do not have a conrmed reservation. Would it be good to have few different parking tariffs? The answer is obviously Yes. Drivers paying lower parking tariffs could be disabled and senior citizens, people who reserve parking space few days

    43、in advance, or HOV drivers. Drivers paying higher tariffs could be solo drivers, long term parking drivers, or drivers showing up and asking for parking without making reservation in advance. Obviously, there is a lot of possible parking pricing strategies.The stochastic nature of reservation genera

    44、tion and cancellation, the stochastic nature of driver show-up during reserved time slot, variety of parking tariffs, and the need to respond to drivers requests in real time, indicate that the management of parking garage revenues represents a complex problem.In the past 30 years a relatively large

    45、 number of papers have been devoted to different aspects of the air-line seat inventory control problem (Littlewood, 1972; Belobaba, 1987; Brumelle and McGill, 1993; Teodorovic et al., 2002). The model proposed in this paper is highly inspired by the developed airline yield management stochastic and

    46、/or deterministic models.Let us assume that we have few different parking tariffs. The simplest reservation system (similar to some airline reservation systems in the past) could be distinct tariff class parking space inventories (Fig. 1(a),indicating separate parking spaces in the garage for each t

    47、ariff class. In this case, once the parking space is assigned to a tariff class, it may be booked only in that tariff class or else remains unsold. There are certain advantages, as well as certain disadvantages in the case of distinct parking space inventories. In this case users paying lower tariff

    48、s would be relatively well protected. In other words, this system would pay a lot of attention to the disabled person, senior citizens, people who reserve parking space few days in advance, and HOV drivers. Obvious disadvantage of the distinct parking space inventories is the fact that very often so

    49、me parking spaces assigned to lower tariff users would be empty even the higher tariff users demand is very high. In other words, it would be possible to reject some drivers even all parking spaces in garage are not occupied.In case of a nested reservation system, the high tariff request will not be rejected as long as any parking spaces are available in lower tariff classes. For example, if we have four tariff classes, then there is no booking limit for class 1, but there are booking limits (BLi, i = 2, 3, . . .,

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