Dynamic differential models for studying traffic flow and density

J. Ambient Intelligence and Humanized Computing, pp. 315-320, 2019.

Cited by: 0|Bibtex|Views9|DOI:https://doi.org/10.1007/s12652-017-0506-4
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Other Links: dblp.uni-trier.de|academic.microsoft.com|link.springer.com

Abstract:

In this paper, we propose a dynamic stochastic differential model for describing traffic flow based on the Markov chain theory. A key feature of our approach is considering vehicle arrivals and departures, which results in the total number of vehicles in the system varying over time. This makes our proposed transport system dynamic and mo...More

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