1、Intelligentparkingsystem智能停车场系统大学毕业论文英文文献翻译及原文 毕 业 设 计(论文)外 文 文 献 翻 译文献、资料中文题目:智能停车场系统文献、资料英文题目:Intelligent parking system文献、资料来源:文献、资料发表(出版)日期:院 (部): 专 业: 班 级: 姓 名: 学 号: 指导教师: 翻译日期: 2017.02.14Intelligent parking systemAbstract The basic concepts of the parking reservation system and parking revenue
2、 management system are discussed in this paper. The proposed intelligent parking space inventory control system that is based on a combination of fuzzy logic and integer programming techniques makes on line decisions whether to accept or reject a new drivers request for parking. In the rst step of t
3、he proposed model, the best parking strategies are developed for many different patterns of vehicle arrivals. These parking strategies are developed using integer programming approach. In the second step, learn-ing from the best strategies, specic rules are dened. The uniqueness of the proposed appr
4、oach is that the rules are derived from the set of chosen examples assuming that the future traffic arrival patterns are known. The results were found to be close to the best solution assuming that the future arrival pattern is known. Keywords: Traffic; Uncertainty modeling; Control; Parking; Fuzzy
5、logic1.Introduction Every day a signicant percentage of drivers in single-occupancy vehicles search for a parking space. Additionally, less experienced drivers or out-of-towners further contribute to the increase of traffic congestion. Search for a vacant parking space is a typical example of a sear
6、ch 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 planned activity, time of a day, day of the week, current congestion on particular routes, knowledge of city streets, and potentially available p
7、arking places have signicant inuence on a chosen parking search strategy. During the last four decades numerous parking search models have been developed (Vander Goot, 1982; Axhausen and Polak, 1991; Polak and Axhausen, 1990; Young et al., 1991a,b; saltzman, 1997; Shoup, 1997; Steiner, 1998; Thompso
8、n 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 transportation (modal split, choice of air carrier, choice of airport, etc.) the competitive alternatives and their characteristics are reasonably well
9、known in advance to the decision maker (passenger, driver). On the other hand, the drivers usually discover diffierent parking alternatives one by one in a temporal sequence. Clearly, this temporal sequence has a very strong inuence on the drivers nal decision about the parking place During the past
10、 two decades, traffic authorities in many cities (Helsinki, Cologne, Mainz, Stuttgart, Wiesbaden, Aalborg, Hague) have started to inform and guide drivers to parking facilities with real-time var-iable message signs directional arrows, names of the parking facilities, status (full, not full, number
11、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 Internet. It is logical to ask the question about the benets of the parking guidance systems. Current
12、practice shows that parking guidance systems usually do not change the occupancy rate or average parking duration. Drivers easily become familiar with the parking guidance systems, and majority of them use, thrust and appreciate the help of the systems. Guidance systems signicantly increase the prob
13、ability of finding vacant parking space, mitigate frustration of the driversvisitors unfamiliar with the city center, decrease the queues in front of parking garages, decrease the total amount of vehicle-miles traveled (particularly in the city centers), decrease the average trip time, energy consum
14、ption, and air pollution. Parking guidance system is a part of comprehensive parking policy and traffic management system, whose other elements are street parking control (including sanctions for the illegally parked vehicles), parking fare structure, and parking revenue management system. Parking g
15、uidance systems help drivers to nd vacant parking spaces when they are already on the network, and approaching their nal destination. Throughout this research the concepts of the parking reservation system and parking revenue management system are proposed. Such systems would help drivers to nd a va
16、cant parking space even before beginning their trip. The proposed intelligent parking space inventory control system that is based on the combination of simulation, 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 an
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