Year: 2022
Type: article
Abstract: Macroscopic Traffic Models, based on the idea that traffic in a city can be modelled much like a fluid, have been used to guide transport policy and mitigate congestion for more than 50 years.They find a fixed point in the interaction between two phenomena: (i) drivers make routing decisions based on the observed travel times and try to minimize their experienced travel times; (ii) route flows determine the congestion pattern and affect travel times.This fixed point may be further generalized to include choice of departure time, transport mode, activity location, and other behavioral dimensions.Building useful transport models is a balancing act between capturing realistic behavior and managing the computational complexity of models that are routinely used to simulate the journeys of thousands of cars simultaneously.Authors have created a variety of flavors of these models that emphasize preferences for one or another aspect of realism at the cost of others, see Bliemer et al. (2017) for a recent overview and classification.
DOI: 10.21105/joss.04593
Authors: Paul Ortmann, Chris M. J. Tampère
Institution: KU Leuven
Language: English
Subfield: Transportation
Field: Social Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4296598424