Modelling perception updating of travel times


03-Jun-2020 00:48

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.It therefore seems a highly appropriate time for a special issue that is able to reflect the developments and diversity of approach under development.In the history of this field, there has been a strong connection between, in the first case, the use of numerical experiments to push the boundaries of the model assumptions and, in the second case, the subsequent use of theory to capture at least part of the phenomena observed in the numerical work.In the relevant literature, a novel problem formulation called travelling salesman problem with drone has been introduced, and some modelling and solution approaches have been presented.Existing approaches are based on the main assumption that the truck can dispatch and pick up a drone only at a node, i.e. Here, the authors present a novel approach aimed to maximise the drone usage in parcel delivering.

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In “Modelling Road Traffic Assignment as a Day-to-Day Dynamic, Deterministic Process: A Unified Approach to Discrete and Continuous-Time Models”, Cantarella and Watling consider models in which the day-to-day dynamics are described by a non-linear, deterministic, dynamical system.While reactive drivers forecast only on the basis of how their own decision may change in response to past conditions, strategic drivers anticipate the responses of other drivers when making their dynamic choice decision.