Recently, a fully two-dimensional microscopic traffic flow model for lane free vehicular traffic flow has been proposed [Physica A, 509, pp. 1–11 (2018)]. In this contribution, we generalize this model to describe any kind of human-driven directed flow including lane-based vehicular flow, lane-free mixed traffic, bicycle traffic, and pedestrian flow. The proposed intelligent-agent model (IAM) has the same philosophy as the well-known social-force model (SFM) for pedestrians but the interaction and boundary forces are based on car-following models making this model suitable for higher speeds. Depending on the underlying car-following model, the IAM includes anticipation, response to relative velocities, and accident-free driving. When adding a suitable floor field, the IAM reverts to an integrated car following and lane-changing model with continuous lane changes. We simulate this model in several lane-based and lane-free environments in various geometries with and without obstacles. We observe that the model produces accident-free traffic flow reproducing the observed self-organisation phenomena.
The Intelligent Agent Model—A Fully Two-dimensional Microscopic Traffic Flow Model
Lecture Notes in Civil Engineering
International Conference on Traffic and Granular Flow ; 2022 ; Delhi, India October 08, 2022 - October 10, 2022
2024-05-26
8 pages
Article/Chapter (Book)
Electronic Resource
English
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