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Travel itinerary planning studies based on context-aware services

Author: GaoJianMing
Tutor: LingHong；ZuoZhengChuan
School: Fudan University
Course: Information Management and Information Systems
Keywords: Context-aware services Trip planning Resource constraints project scheduling Constrained Optimization Mathematical modeling
CLC: F590
Type: Master's thesis
Year: 2010
Downloads: 217
Quote: 2
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Abstract


With the continuous development of communication technology and pervasive computing technology , informed of the users and their environment in which dynamic information - scene information has become possible . Situational awareness as a key part of mobile commerce to provide personalized service , at home and abroad in recent years to attract a large number of researchers in the definition of the profile information , access and how to use it for customer service have made ??a lot of research work . On the other hand , the tourism industry as an information-intensive industry , how to seize the various characteristics of tourism to provide high value-added services for tourists has become one of the research focus . The combined scenario information perception and tourism information systems research , however , is still in its infancy, and is mainly confined to the formulation of the concept , service framework to explore and prototype system development . This article is based on situational awareness tours planning research to further expand and improve the situational awareness system framework , and mathematical modeling and solving research problems , but also to expand the travel itinerary planning research methods and ideas . The researchers previously Summary of research on context-aware services based on the clearly put forward according to the scenario information for tourists itinerary planning , has important practical significance and application value . The modeling of the problem to the classic path planning problem - traveling salesman problem and the vehicle routing problem , propose a mathematical model to the expansion of the resource-constrained project scheduling problem as the prototype . Finally, the research question scale with a branch and bound exact algorithm and simulation method to verify .

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