Collecting and receiving information about the state of a transportation system is essential to effective planning for intelligent transportation systems, whether it be on the part of individual users or managers of the system. However, efforts to collect or convey information about a system’s status often require considerable investment in infrastructure/technology. Moreover, given variations in the development and use of transportation systems over time, uncertainties exist as to where and when demand for such services may be needed. To address these problems, a model for minimizing the cost of siting and/or collecting information while ensuring specified levels of demand are served at an acceptable level of reliability is proposed. To demonstrate the characteristics of the proposed formulation, it is coupled with another planning objective and applied to identify optimal sites for information provision/collection in a transportation system. Model solutions are then derived for multiple scenarios of system flow to explore how variations in the use of a transportation system can impact siting configurations.

收集和接收有关运输系统状态的信息对于有效规划智能运输系统至关重要，无论是个人用户还是系统管理员。但是，收集或传达有关系统状态的信息的工作通常需要在基础架构/技术上进行大量投资。此外，鉴于运输系统的发展和使用随时间的变化，在何时何地可能需要这种服务方面存在不确定性。为了解决这些问题，提出了一种模型，该模型用于最小化选址和/或收集信息的成本，同时确保在可接受的可靠性级别上满足指定的需求级别。为了证明所提议配方的特性，它与另一个计划目标结合在一起，并用于识别运输系统中信息提供/收集的最佳地点。然后针对系统流程的多个场景导出模型解决方案，以探索运输系统使用中的变化如何影响选址配置。