#7702. An application of Bayesian multilevel model to evaluate variations in stochastic and dynamic transition of traffic conditions

October 2026publication date
Proposal available till 24-05-2025
4 total number of authors per manuscript0 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Mechanical Engineering;
Computer Science Applications;
Electrical and Electronic Engineering;
Transportation;
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Abstract:
This study seeks to investigate the variations associated with lane lateral locations and days of the week in the stochastic and dynamic transition of traffic regimes (DTTR). In the proposed analysis, hierarchical regression models fitted using Bayesian frameworks were used to calibrate the transition probabilities that describe the DTTR.
Keywords:
Bayesian frameworks; Days of the week; Disparity effect; Dynamic transition of traffic regimes; Hierarchical model; Lane lateral locations

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