面向多式联运的信息集成与服务优化研究

发布时间：2018-08-12 09:14

【摘要】：近年来,多式联运在我国交通运输中的重要地位日益突显。但是由于受我国客观体制的限制,使得不同运输行业间缺乏由信息技术支撑的有效协同,最终导致铁路、水路、公路等多种运输方式物流信息跨部门、跨行业、跨地域的信息资源无法共享,信息集聚效应不能得到有效发挥。因此,在这种环境下,迫切需要在多式联运过程中实现信息集成。关于多式联运中信息集成服务研究已成为了一个热门的课题。为了实现多式联运信息集成与服务优化,本文以多式联运信息集成服务为背景,以信息应用为中心,以多式联运信息为研究对象,利用多式联运理论、信息集成理论、信息集成服务理论等学科的知识对多式联运中数据集成、应用集成进行研究并提出了服务优化方法。首先,提出了基于数据元的多式联运数据表示方法,应用该方法对多式联运中铁路、公路、水路三种运输方式的原始数据进行表示得到了运输里程、运输时间和运输费用表结构,通过利用关系的概念,进一步提高数据集成度。在数据集成后,对多式联运数据安全控制方法从规范化处理、访问控制和身份认证三个方面进行研究。其次,将蚁群算法、多目标算法、车间调度算法应用到多式联运信息集成服务优化中,通过对这些基础算法的改进,提出了面向托运人的蚁群多目标优化算法SAMOA及面向承运人的运输车辆调度优化算法CVTSA. 最后,以上海港到鄂尔多斯的多式联运为背景,构建了多式联运数据集成和服务优化模型,验证了该方法的有效性和实用性。
[Abstract]:In recent years, the important position of multimodal transport in China has become increasingly prominent. However, due to the restriction of the objective system of our country, the lack of effective coordination between different transportation industries supported by information technology leads to the transportation modes, such as railways, waterways, highways, and other transportation modes, which are cross-departmental and cross-industry. Cross-regional information resources can not be shared, information agglomeration effect can not be effectively played. Therefore, in this environment, there is an urgent need to realize information integration in multimodal transport process. The research on information integration service in multimodal transport has become a hot topic. In order to realize the information integration and service optimization of multimodal transport, this paper takes the information integration service as the background, takes the information application as the center, takes the multimodal transport information as the research object, uses the multimodal transport theory, the information integration theory. Based on the knowledge of information integration service theory and other disciplines, the data integration and application integration in multimodal transport are studied and a service optimization method is proposed. First of all, a data element based data representation method for multimodal transport is proposed. The original data of railway, highway and waterway in multimodal transport are represented by this method, and the transport mileage is obtained. The structure of transportation time and cost table improves the data integration by using the concept of relation. After data integration, the security control methods of multimodal transport data are studied from three aspects: standardized processing, access control and identity authentication. Secondly, ant colony algorithm, multi-objective algorithm and job-shop scheduling algorithm are applied to the optimization of intermodal transport information integration service. A shipper oriented ant colony multiobjective optimization algorithm (SAMOA) and a carrier oriented vehicle scheduling optimization algorithm (CVTSA) are proposed. Finally, the model of data integration and service optimization of multimodal transport is constructed under the background of multimodal transport from above seaport to Ordos, which verifies the effectiveness and practicability of this method.
【学位授予单位】：南京师范大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：F512;F224

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