Optimizing facility siting for probabilistic collection and distribution of information in support of urban transportation

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