Lane-changing and freeway capacity: a Bayesian inference stochastic model
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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.
This is the accepted version of the following article: [Sala, M, Soriguera, F. Lane‐changing and freeway capacity: A Bayesian inference stochastic model. Comput Aided Civ Inf. 2020; 1– 15. https://doi.org/10.1111/mice.12529], which has been published in final form at https://onlinelibrary.wiley.com/doi/abs/10.1111/mice.12529
CitationSala, M.; Soriguera, F. Lane-changing and freeway capacity: a Bayesian inference stochastic model. "Computer-aided civil and infrastructure engineering", Juliol 2020, vol. 35, núm. 7, p. 719-733.