• Marina Leite de Barros Baltar Universidade Federal do Rio de Janeiro
  • Paulo Cezar Martins Ribeiro Universidade Federal do Rio de Janeiro



Incidents, Urban Tunnel, Intelligent transport systems.


The 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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Author Biographies

Marina Leite de Barros Baltar, Universidade Federal do Rio de Janeiro

Mestrado pelo Programa de Engenharia de Transporte da COPPE/UFRJ. 

Paulo Cezar Martins Ribeiro, Universidade Federal do Rio de Janeiro

Ph.D., Professor do Programa de Engenharia de Transportes da COPPE/UFRJ


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How to Cite

Baltar, M. L. de B., & Ribeiro, P. C. M. (2017). INCIDENT DETECTION OF CONGESTIONED URBAN TUNNELS: A CASE STUDY OF REBOUÇAS TUNNEL IN RIO DE JANEIRO. Revista Produção E Desenvolvimento, 3(3), 86–100.

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