Recent Developments in Mathematical Traffic Models

Daniel Schmand ()
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Daniel Schmand: University of Bremen

A chapter in Dynamics in Logistics, 2021, pp 71-87 from Springer

Abstract: Abstract Predictions such as forecasts of congestion effects in transportation networks can be based on complex simulations that include many aspects of actual transportation systems. On the other hand, rigorous mathematical traffic models give rise to theoretical analyses, very general statements, and various traffic optimization opportunities. There has been a huge development in the last years to make mathematical traffic models more realistic. This chapter provides an overview of the mathematical traffic models developed recently and some state-of-the-art results.

Date: 2021
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DOI: 10.1007/978-3-030-88662-2_4

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