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Incident prediction: a statistical approach to dynamic probability estimation : application to a test site in Barcelona

Autor
Lídia Montero; Barcelo, J.; Perarnau, J.
Tipus d'activitat
Document cientificotècnic
Data
2002
Codi
DR 2002/08
Repositori
http://hdl.handle.net/2117/89273 Obrir en finestra nova
URL
http://cataleg.upc.edu/record=b1216947~S1*cat Obrir en finestra nova
Resum
DR 2002/08 Departament d'EIO - Research Supported by PRIME European Project Real-time models for estimating incident probabilities (EIP models) are innovative methods for predicting the potential occurrence of incidents and improving the effectiveness of incident management policies devoted to increasing road safety. EIP models imbedded in traffic management systems can lead to the development of control strategies for reducing the likelihood of incidents before they occur. This paper presents ...
Citació
Lídia Montero, Barcelo, J., Perarnau, J. "Incident prediction: a statistical approach to dynamic probability estimation : application to a test site in Barcelona". 2002.
Paraules clau
Generalized Linear Regression Models, Incident Management, Incident Prediction, Microscopic Simulation, Transportation Management
Grup de recerca
IMP - Information Modeling and Processing

Participants

Arxius