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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | De Capua, C. Piccolo, B. Romeo, E. |
| Copyright Year | 2007 |
| Description | Author affiliation: Univ. "Mediterranea" of Reggio Calabria, Reggio Calabria (De Capua, C.; Piccolo, B.; Romeo, E.) |
| Abstract | This paper presents a distributed smart system for evaluating the safety state in highway tunnels. This system will alert all vehicles passing trough the monitored tunnel that a dangerous state has been detected, such as a fire or the presence of injurious vapors which might possibly ignite. The system implements original and innovative data fusion algorithms in two-stages, based on the creation of decisional fuzzy rules built on linguistic variables in presence of measures affected by uncertainty. The distributed network of sensing devices and thermal vision system monitor continuously the tunnel environment, permitting extraction of information on the safety state of tunnel. If the system finds an effective anomaly, and the sensors and the cameras are working accurately, a message is sent to inform the drivers about the exact location of the danger. In fact, by using the RF technology of communication, the vehicle is able to recognize its own position within the tunnel and the distance separating it from the critical area detected. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 3442440 |
| Page Count | 6 |
| File Format | |
| ISBN | 1424405882 |
| ISSN | 10915281 |
| DOI | 10.1109/IMTC.2007.379212 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-05-01 |
| Publisher Place | Poland |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Road safety Road transportation Monitoring Vehicle detection Fires Fuzzy systems Measurement uncertainty Thermal variables measurement Machine vision Data mining RF Communications Sensor networks CAN bus |
| Content Type | Text |
| Resource Type | Article |
| Subject | Instrumentation Electrical and Electronic Engineering |
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