A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Lane‐changing and freeway capacity: A Bayesian inference stochastic model
This article presents a new stochastic computational model for determining freeway capacity reduction as a result of lane‐changing activity. The probability density function for the maximum flow that can be sustained on a freeway for a given lane‐changing level is obtained. The results can be used to support freeway management strategies aiming to mitigate the negative consequences of lane‐changing in freeway capacity. A pilot test using empirical data obtained from the B‐23 freeway accessing the city of Barcelona proves the validity of the modeling approach.
Lane‐changing and freeway capacity: A Bayesian inference stochastic model
This article presents a new stochastic computational model for determining freeway capacity reduction as a result of lane‐changing activity. The probability density function for the maximum flow that can be sustained on a freeway for a given lane‐changing level is obtained. The results can be used to support freeway management strategies aiming to mitigate the negative consequences of lane‐changing in freeway capacity. A pilot test using empirical data obtained from the B‐23 freeway accessing the city of Barcelona proves the validity of the modeling approach.
Lane‐changing and freeway capacity: A Bayesian inference stochastic model
Sala, Marcel (author) / Soriguera, Francesc (author)
Computer‐Aided Civil and Infrastructure Engineering ; 35 ; 719-733
2020-07-01
15 pages
Article (Journal)
Electronic Resource
English
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