摘要: |
The purpose of this project is to examine the relevance of the Federal Highway Administration's (FHWA's) Clarus and Michigan Department of Transportation’s Data Use Analysis and Processing (DUAP) data, and their core system designs, to the needs of the Applications for the Environment: Real-Time Information Synthesis (AERIS) Program, and to recommend a Preliminary System Development Plan for an AERIS data environment. Clarus and Data Use Analysis and Processing (DUAP) represent state-of-the-art data acquisition tools. The Clarus system emphasizes data collection from fixed environmental sensor stations (ESS), but is currently being enhanced to incorporate data from mobile sources, such as snow plows. DUAP focuses on the collection of data from mobile sources, particularly connected vehicle fleets, but also acquires data from fixed roadway traffic sensors. Between the two systems, sophisticated real-time data quality checking algorithms have been implemented; techniques for integrating data from multiple disparate sources have been developed; real-time data visualization tools have been created; and applications that translate raw data into actionable information for the benefit of system users have been designed and implemented.Since the Clarus and DUAP systems are operational and significant investment has already been made, the intent of this project is to determine how Federal Highway Administration (FHWA) can leverage these assets and leapfrog some of the normal system development cycle. This report covers the following material to arrive at a recommended Preliminary System Development Plan. |