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VOTERS: design of a mobile multi-modal multi-sensor system
| Content Provider | ACM Digital Library |
|---|---|
| Author | Wang, Ming Birken, Ralf Schirner, Gunar |
| Abstract | The US roadways and bridge decks require an estimated \$2.2T in investments to improve from its current D score in the most recent ASCE report card [29] to a good level. A network-wide health assessment of the roadway infrastructure is necessary to direct investments to the areas of most need and benefit. However, current survey methods are too expensive in terms of man power and impact to traffic. This paper introduces the Versatile Onboard Traffic-Embedded Roaming Sensors (VOTERS) project which provides a framework to complement periodical localized inspections of roadways and bridge decks with continuous network-wide health monitoring. VOTERS has created a prototype mobile multi-modal (acoustic, electromagnetic, optical) multi-sensor system compatible with this framework and the goal to help prioritize direct investments to the areas of most need and benefit [9]. VOTERS utilizes traffic-embedded Vehicles Of Opportunity (VOOs) which roam through daily traffic for data collection. This non-intrusive collection eliminates hazardous, congestion-prone work zones, that are typically set up to gather these critical inspection data sets. VOTERS provides maintenance decision makers and researchers with a temporal and spatial data set not available in roadway and bridge deck inspection today. This paper overviews system-level aspects of the VOTERS design, highlights the variety of data types that the final prototype will collect, and outlines data processing approaches. |
| Starting Page | 8 |
| Ending Page | 15 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781450315548 |
| DOI | 10.1145/2350182.2350183 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2012-08-12 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Design Mobile sensing Multi-sensor Infrastructure health monitoring Data streams |
| Content Type | Text |
| Resource Type | Article |
