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FORECASTING OF TRAFFIC FLOWS IN FREEWAY SECTIONS ACCORDING TO ESTIMATED IN-FLOWS AND TRAVEL TIMES

Roberto Camus, Giovanni Antonio Longo, Fabio Santorini

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Abstract

This paper deals with a three steps forecasting model, useful to support real-time traffic management on a freeway network. The proposed approach combines an in-flow predictive model and a distributive one with an assignment model based on the speed distribution of the freeway flow, which allows to describe the different behaviour of the drivers. Results of an application to an Italian freeway are also discussed. (A) For the covering abstract see IRRD 882109.

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What this paper is about

This paper deals with a three steps forecasting model, useful to support real-time traffic management on a freeway network. The proposed approach combines an in-flow predictive model and a distributive one with an assignment model based on the speed distribution of the freeway flow, which allows to describe the different behaviour of the drivers. Results of an application to an Italian freeway are also discussed. (A) For the covering abstract see IRRD 882109.

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OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper deals with a three steps forecasting model, useful to support real-time traffic management on a freeway network. The proposed approach combines an in-flow predictive model and a distributive one with an assignment model based on the speed distribution of the freeway flow, which allows to describe the different behaviour of the drivers. Results of an application to an Italian freeway are also discussed. (A) For the covering abstract see IRRD 882109.

Key concepts: Traffic flow (computer networking), Transport engineering, Computer science, Travel time, Distributive property, Flow (mathematics), Simulation, Operations research

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FORECASTING OF TRAFFIC FLOWS IN FREEWAY SECTIONS ACCORDING TO ESTIMATED IN-FLOWS AND TRAVEL TIMES — Research Paper | ScholarLens