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

Author
Lídia Montero; Barcelo, J.; Perarnau, J.
Type of activity
Report
Date
2002
Code
DR 2002/08
Repository
http://hdl.handle.net/2117/89273 Open in new window
URL
http://cataleg.upc.edu/record=b1216947~S1*cat Open in new window
Abstract
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 ...
Citation
Lídia Montero, Barcelo, J., Perarnau, J. "Incident prediction: a statistical approach to dynamic probability estimation : application to a test site in Barcelona". 2002.
Keywords
Transportation management, generalized linear regression models, incident management, incident prediction, microscopic simulation
Group of research
IMP - Information Modelling and Processing
inLab FIB

Participants

Attachments