English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

To explain day-to-day (DTD) route-choice behaviors and traffic dynamicsobserved in a series of lab experiments, Part I of this research proposed adiscrete choice-based analytical dynamic model (Qi et al., 2023). Although thedeterministic model could well reproduce the experimental observations, itconverges to a stable equilibrium of route flow while the observed DTDevolution is apparently with random oscillations. To overcome the limitation,the paper proposes a route-dependent attraction-based stochastic process(RDAB-SP) model based on the same behavioral assumptions in Part I of thisresearch. Through careful comparison between the model-based estimation andexperimental observations, it is demonstrated that the proposed RDAB-SP modelcan accurately reproduce the random oscillations both in terms of flowswitching and route flow evolution. To the best of our knowledge, this is thefirst attempt to explain and model experimental observations by usingstochastic process DTD models, and it is interesting to find that the seeminglyunanticipated phenomena (i.e., random route switching behavior) is actuallydominated by simple rules, i.e., independent and probability-based route-choicebehavior. Finally, an approximated model is developed to help simulate thestochastic process and evaluate the equilibrium distribution in a simple andefficient manner, making the proposed model a useful and practical tool intransportation policy design.

Investigating and modeling day-to-day route choices based on laboratory  experiments. Part II: A route-dependent attraction-based stochastic process  model