This paper focuses on modeling agents' en-route diversion behavior under information
provision. The behavior model is estimated based on naïve Bayes rules and re-calibrated …

This paper presents a Bayesian approach for modeling and calibrating drivers' en route
route changing decision with behavior data collected from laboratory driving simulators and …

The study aims to develop a new method suitable for analysing en-route diversion
behaviour. A corresponding probit model is used to analyse and quantify the impact of …

This paper proposes a seamless framework to incorporate the day-to-day and within-day
dynamics of driver route choice decisions under real-time information provision by adapting …

The existence of the Macroscopic Fundamental Diagram (MFD), which relates network
space-mean density and flow, has been shown in urban networks under homogeneous …

The primary focus of this research is to develop an approach to capture the effect of travel
time information on travelers' route switching behavior in real-time, based on on-line traffic …

Foresee traffic conditions and demand is a major issue nowadays that is very often
approached using simulation tools. The aim of this work is to propose an innovative strategy …

Advanced modelling methods and products, such as an integrated advanced travel demand
model and a fine-grained time-sensitive network that can operate at statewide, metropolitan …

This paper proposes a behavior-based consistency-seeking (BBCS) model as an alternative
to the dynamic traffic assignment paradigm for the real-time control of traffic systems under …

Recent studies have demonstrated that Macroscopic Fundamental Diagram (MFD), which
provides an aggregated model of urban traffic dynamics linking network production and …