摘要: |
North American infrastructure systems, including transportation networks, are increasingly decaying with respect to safety and capacity. Network demands are changing. Consequently, the cost of bridge repair and adaption for higher loads are increasing, surpassing available funds. There is limited data, however, about the decay of performance of these systems over time. Inspectors currently collect information in the field for structural condition assessments, and their reports serve as the main source of information used by managers to make critical infrastructure decisions. However, infrastructure owners and managers are in need of more quantifiable information to improve their objectivity and the safety of inspectors. Field inspections are expensive, provide subjective information, and sometimes require unsafe work conditions. As such, this project proposes the use of augmented reality interfaces between humans and infrastructure that can be cost-effectively developed and used by transportation agencies and infrastructure managers. The input from industry will direct the identification, selection, development, and testing of augmented reality in scenarios that can be used for their daily operations and managerial decisions. This research will be developed in collaboration with industry so that the impact of augmented reality can be benchmarked with current operations, and hence measure its efficiency. |