INCIDENT DETECTION OF CONGESTIONED URBAN TUNNELS: A CASE STUDY OF REBOUÇAS TUNNEL IN RIO DE JANEIRO
AbstractThe objective of this research is to develop a theoretical method capable of eliminating the large number of false alarms resulted of traffic stopping on the automatic incident detection system installed in urban tunnels with large traffic flow. This method took in consideration the concept of shocks wave and have with the purpose of predicting the moment that this wave will reach a certain point in the tunnel. After the development of the method, a case study was conducted in the tunnel Rebouças, in Rio de Janeiro city, where there is an automatic incident detection system that generates a large number of false alarms during rush hours. With the suggested methodology, it was observed that it is possible to lower the number of false alarms by predicting the shock waves that hit the tunnel galleries.
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