Modelling perception updating of travel times

Posted by / 29-Feb-2020 11:01

Through numerical tests, the authors show how the ratio of foxes to sheep in the travelling population may affect the overall system performance, the variance in that performance, and the relative benefits to the two groups of travellers.It is also shown how parameters of the model, such as memory length, may influence such phenomena.Following the work of Horowitz (), there has been a slowly growing interest in describing transportation systems through their day-to-day dynamics.

In this paper, we present a modeling approach, based on Fuzzy Data Fusion, to reproduce drivers' dynamic choice behavior under an Advanced Traveler Information System (ATIS).The main contribution is to present a unified treatment of discrete-time and continuous-time approaches, these having developed in parallel streams of research with little overlap.Bringing such approaches together is not so conceptually trivial, since it is not simply that the discrete-time approaches can be regarded as a fine-scale approximation to the continuous-time ones.The four papers in this special issue are a subset of those that were submitted for publication following an open call for papers considering transportation systems as some kind of day-to-day evolving, dynamical system.Although remarks on the existence of such dynamic adjustment processes can be traced back to the early studies of equilibrium transportation systems (as a justification for the equilibrium hypothesis), a landmark in this field was a small research note, written some 30 years ago, where Horowitz () explored the possibility to consider a simple two-route network through the theoretical frame of a discrete-time, non-linear dynamical system.

modelling perception updating of travel times-55modelling perception updating of travel times-83modelling perception updating of travel times-11

The motivation of Parry, Hazelton and Watling, in “A New Class of Doubly Stochastic Day-to-Day Dynamic Traffic Assignment Models”, is to develop a richer class of stochastic process traffic assignment model than currently exists, to capture variation in unmeasured factors.

One thought on “modelling perception updating of travel times”