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Present and future methodology for the implementation of decision support systems for traffic management

Present and future methodology for the implementation of decision support systems for traffic management
 
Casas Vilaró, Jordi ; Torday, Alexandre ; Perarnau i Codina, Josep ; Breen, M. ; Ruiz de Villa, Alex
2013

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Nombre: artconlli_a2013_casas_jordi_casas_jordi_present_future_methodoly.pdf
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Enllaç permanent: http://hdl.handle.net/10854/3805
 

Resumen

Real-time predictions are an indispensable requirement for traffic management in order to be able to evaluate the effects of different available strategies or policies. The combination of predicting the state of the network and the evaluation of different traffic management strategies in the short term future allows system ...»»»»
Real-time predictions are an indispensable requirement for traffic management in order to be able to evaluate the effects of different available strategies or policies. The combination of predicting the state of the network and the evaluation of different traffic management strategies in the short term future allows system managers to anticipate the effects of traffic control strategies ahead of time in order to mitigate the effect of congestion. This paper presents the current framework of decision support systems for traffic management based on short and medium-term predictions and includes some reflections on their likely evolution, based on current scientific research and the evolution of the availability of new types of data and their associated methodologies.^^^^

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Citación Bibliográfica:

Casas Vilaró, J., Torday, A., Perarnau, J., Breen, M., & De Villa, A. R. (2013). Present and future methodology for the implementation of decision support systems for traffic management. 36th Australasian Transport Research Forum, ATRF 2013,