详情

Practices for Transportation Agency Procurement and Management of Advanced Technologies

项目名称：	Practices for Transportation Agency Procurement and Management of Advanced Technologies
摘要：	State departments of transportation (DOTs) have been effective in developing transportation procurement documents for highway construction. However, the procurement of new business operation technologies is less advanced. State DOTs are investing in enterprise network solutions to support agency operations (e.g., communications, asset management, and human resources management), while also seeking to leverage cutting-edge technologies to manage the transportation network. This may include artificial intelligence (AI)-based predictive analytics solutions and cloud-based big data analytics solutions. The diversity of procurements that agencies adopt and maintain and the expectations of its customers are changing. As complexity grows, state DOTs continue to use traditional procurement methods, which may entail making individual purchases without a long-term, big-picture view of the implications and objectives. This often leads to a number of procurement challenges for state DOTs, particularly when it comes to the provision of technological products and services. The objectives of this research are to develop a guide that will enable state DOTs to identify (1) successful procurement practices used when procuring new transportation systems technologies that meet industry standards; (2) procurement processes flexible enough to be adapted as technology changes; and (3) a sustainable means for practitioners within state DOT Information Technology and Procurement offices to implement and evaluate procurement processes.
状态：	Proposed
资金：	225000
资助组织：	National Cooperative Highway Research Program；American Association of State Highway and Transportation Officials (AASHTO)；Federal Highway Administration
项目负责人：	Crichton-Sumners, Camille
开始时间：	20220405
主题领域：	Administration and Management；Data and Information Technology；Finance；Highways；Operations and Traffic Management