标题： 智能路侧基础设施传感器在连接和自动化交通中的经济分析 显示英文标题

标题： Economic Analysis of Smart Roadside Infrastructure Sensors for Connected and Automated Mobility

摘要： 智能路边基础设施传感器以智能交通系统站（ITS-Ss）的形式在全球相关交通节点日益部署。 由此产生的真实环境的数字孪生体适用于开发和验证联网和自动驾驶功能，并通过提供ITS-S实时数据来提高智能车辆的操作安全性。 然而，建立和运营ITS-Ss成本很高。 传感器技术的选择也会影响总体成本以及数据质量。 到目前为止，关于不同ITS-S设置建设所产生的具体费用，只有有限的了解。 在本工作中，借助生命周期成本分析（LCCA），研究了多种模块化的基础设施传感器设置。 考虑了其经济效率、不同的用户需求和传感器数据质量。 基于静态成本模型，进行了蒙特卡洛模拟，以生成可能的项目成本范围，并量化实施不同规模ITS-S项目的财务风险。 由于其模块化，计算模型适用于多种应用，并对所研究设置的潜在成本效益比进行明确的评估。 显示英文摘要

摘要： Smart roadside infrastructure sensors in the form of intelligent transportation system stations (ITS-Ss) are increasingly deployed worldwide at relevant traffic nodes. The resulting digital twins of the real environment are suitable for developing and validating connected and automated driving functions and for increasing the operational safety of intelligent vehicles by providing ITS-S real-time data. However, ITS-Ss are very costly to establish and operate. The choice of sensor technology also has an impact on the overall costs as well as on the data quality. So far, there is only insufficient knowledge about the concrete expenses that arise with the construction of different ITS-S setups. Within this work, multiple modular infrastructure sensor setups are investigated with the help of a life cycle cost analysis (LCCA). Their economic efficiency, different user requirements and sensor data qualities are considered. Based on the static cost model, a Monte Carlo simulation is performed, to generate a range of possible project costs and to quantify the financial risks of implementing ITS-S projects of different scales. Due to its modularity, the calculation model is suitable for diverse applications and outputs a distinctive evaluation of the underlying cost-benefit ratio of investigated setups.