【摘要】：隨著交通行業(yè)的快速發(fā)展，傳統(tǒng)的交通誘導(dǎo)方式及信息服務(wù)發(fā)布方式的局限性越來越明顯，已經(jīng)無法滿足人們的出行信息服務(wù)需求。如何將交通信息進(jìn)行整合以及向用戶提供及時(shí)可靠的個(gè)性化信息服務(wù)成為現(xiàn)今智能交通系統(tǒng)研究的方向之一。面向服務(wù)的體系結(jié)構(gòu)為交通信息服務(wù)提供了思路。由于服務(wù)的松耦合、復(fù)用性等特點(diǎn)，面向服務(wù)的體系結(jié)構(gòu)的優(yōu)勢越來越明顯。但在交通信息服務(wù)領(lǐng)域，由于交通環(huán)境及信息服務(wù)的復(fù)雜性，其面向服務(wù)的應(yīng)用研究還面臨許多問題。本文從理論研究入手僅針對交通信息服務(wù)的系統(tǒng)流程構(gòu)建方法以及信息服務(wù)的優(yōu)化組合方法進(jìn)行探究，主要研究了以下內(nèi)容： （1）從服務(wù)的概念入手，根據(jù)應(yīng)用背景給出了交通信息服務(wù)的定義以及交通信息服務(wù)的特征，然后依據(jù)各研究機(jī)構(gòu)對服務(wù)組合的描述及交通環(huán)境的特點(diǎn)，給出了交通信息服務(wù)組合的定義以及交通信息服務(wù)組合具備的特征，并在描述的基礎(chǔ)上提出了交通信息服務(wù)的QoS關(guān)鍵屬性指標(biāo)模型及數(shù)據(jù)處理技術(shù)。 （2）以構(gòu)建交通信息服務(wù)組合流程為目的，描述了服務(wù)組合模板的概念，給出了服務(wù)組合模板的構(gòu)造流程，并分析目前主流的服務(wù)組合方法的主要分類及各自的優(yōu)缺點(diǎn)，然后提出了一種基于工作流技術(shù)和語義匹配技術(shù)的混合服務(wù)組合方法用于服務(wù)組合的流程構(gòu)建，并給出構(gòu)造匹配算法。 （3）根據(jù)提出的服務(wù)組合方法給出服務(wù)組合系統(tǒng)的總體設(shè)計(jì)，包括系統(tǒng)的設(shè)計(jì)架構(gòu)和工作流程。在優(yōu)化算法上，根據(jù)交通信息服務(wù)的QoS關(guān)鍵屬性指標(biāo)模型，提出了基于綜合評判法的二級(jí)模糊矩陣評價(jià)算法，，詳述了算法的步驟及計(jì)算過程，最后給出優(yōu)化的匹配算法。 （4）對比本文提出的基于QoS關(guān)鍵屬性的交通信息服務(wù)組合優(yōu)化算法與傳統(tǒng)的IO匹配算法，由仿真結(jié)果指出算法優(yōu)勢。 經(jīng)過算法實(shí)現(xiàn)，結(jié)果表明：本文設(shè)計(jì)的服務(wù)組合優(yōu)化算法在服務(wù)組合成功率和服務(wù)結(jié)果QoS上具有明顯的優(yōu)勢。
[Abstract]:With the rapid development of the transportation industry, the limitations of the traditional traffic guidance and information service delivery methods are becoming more and more obvious, which can no longer meet the needs of people's travel information services. How to integrate traffic information and provide users with timely and reliable personalized information services has become one of the research directions of Intelligent Transportation system. The service-oriented architecture provides the train of thought for the traffic information service. Due to the loose coupling and reuse of services, the advantages of service-oriented architecture become more and more obvious. However, in the field of traffic information service, due to the complexity of traffic environment and information service, its service-oriented application still faces many problems. In this paper, the following contents are mainly studied: (1) starting with the concept of traffic information service, the method of constructing the system flow and the method of optimizing the composition of the information service are studied in this paper. The main contents of this paper are as follows: (1) starting with the concept of traffic information service, According to the application background, the definition of the traffic information service and the characteristics of the traffic information service are given, and then according to the description of the service composition and the characteristics of the traffic environment, The definition of traffic information service composition and the characteristics of traffic information service composition are given. Based on the description, the QoS key attribute index model and data processing technology of traffic information service are put forward. (2) in order to construct the traffic information service composition process, this paper describes the concept of the service composition template, gives the construction process of the service composition template, and analyzes the main classification of the current mainstream service composition methods and their respective advantages and disadvantages. Then a hybrid service composition method based on workflow technology and semantic matching technology is proposed for the process construction of service composition, and a matching algorithm is given. (3) according to the proposed service composition method, the overall design of the service composition system is given, including the design framework and workflow of the system. In the optimization algorithm, according to the QoS key attribute index model of traffic information service, a two-level fuzzy matrix evaluation algorithm based on comprehensive evaluation method is proposed. The steps and calculation process of the algorithm are described in detail. Finally, the optimized matching algorithm is given. (4) comparing the traffic information service combination optimization algorithm based on the key attributes of QoS and the traditional IO matching algorithm, the simulation results show the advantages of the algorithm. Through the implementation of the algorithm, the results show that the service composition optimization algorithm designed in this paper has obvious advantages in the success rate of service composition and the service result QoS.
【學(xué)位授予單位】：長安大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：U495

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