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Highway Alignment Optimization: An Integrated BIM and GIS Approach

机译：公路线形优化：BIM和GIS集成方法

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Highway infrastructure plays an important role in assuring the proper function of the nation’s transportation. Highway alignment is an essential part of the highway planning and design phase, which has significant effects on the surroundings. Identifying optimal highway routes while using traditional methods requires significant time, cost, and effort, since it requires a comprehensive assessment of multiple factors, such as cost and environmental impacts. This study proposes an approach for managing highway alignment in the context of a larger landscape that integrates building information modelling (BIM) and geographic information system (GIS) capabilities. To support this integration, semantic web technologies are used to integrate data on a semantic level. Moreover, the approach also uses genetic algorithms (GAs) for optimizing highway alignments. A fully automated model is developed that enables data interoperability between BIM and GIS systems and also allows for data exchange between the integration model and the optimization algorithm. The model enables the full exploitation of features of the project and its surroundings for highway alignment planning. The proposed model is also applied to a real highway project to validate its effectiveness. The visualization model of the highway project and its surroundings provides a realistic three-dimensional image that produces a comprehensive virtual environment, where the project could be effectively planned and designed. That can help to reduce design errors and miscommunication, which, in turn, reduces project risks. Moreover, geological and geographical analyses help to identify geohazards and environmentally sensitive regions. The proposed model facilitates highway alignment planning by providing a cross-disciplinary approach to close the gap between the infrastructural and geotechnical planning processes.
机译：公路基础设施在确保国家交通运输的正常功能中起着重要作用。高速公路路线调整是高速公路规划和设计阶段的重要组成部分，会对周围环境产生重大影响。在使用传统方法确定最佳公路路线时，需要大量时间，成本和精力，因为它需要对多个因素（例如成本和环境影响）进行全面评估。这项研究提出了一种在较大景观范围内管理高速公路路线的方法，该方法整合了建筑信息模型（BIM）和地理信息系统（GIS）的功能。为了支持这种集成，语义Web技术用于在语义级别上集成数据。此外，该方法还使用遗传算法（GA）来优化高速公路路线。开发了一种完全自动化的模型，该模型可实现BIM和GIS系统之间的数据互操作性，并且还允许在集成模型和优化算法之间进行数据交换。该模型可以充分利用项目及其周围环境的特征，以进行公路路线规划。提出的模型还应用于实际的公路项目，以验证其有效性。公路项目及其周围环境的可视化模型提供了逼真的三维图像，可产生全面的虚拟环境，可以在其中有效地计划和设计项目。这可以帮助减少设计错误和沟通不畅，从而降低项目风险。此外，地质和地理分析有助于识别地质灾害和环境敏感区域。所提出的模型通过提供一种跨学科的方法来缩小基础设施和岩土工程规划过程之间的差距，从而促进了高速公路路线的规划。

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