Abstract
With this paper, we aim to make two main contributions. Firstly, we present a detailed overview of performance metrics used for estimating traffic conditions in urban settings. Compared to highway situations with relatively stable traffic conditions, Traffic State Estimation in urban environments exhibits several challenges, which we discuss in depth. Secondly, through a simulation study, we utilize Eclipse MOSAIC to assess the capabilities and limitations of these metrics. Therefore, we have developed an open-source suite of applications and add-ons for MOSAIC, that will be documented in this paper. Utilizing the publicly available BeST traffic scenario, which encompasses 24 h of realistic urban traffic in Berlin, we present a comparative analysis of average speeds observed on various types of urban roads. Importantly, we made these implementations available to the open-source community, providing a valuable resource for traffic scientists and others who are interested in our contribution.
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Acknowledgment
This work was supported by the KIS’M project through the German Federal Ministry for Economic Affairs and Climate Action under grant 45AVF3001E.
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Schweppenhäuser, M., Schrab, K., Protzmann, R., Radusch, I. (2024). Spatio-Temporal Speed Metrics for Traffic State Estimation on Complex Urban Roads. In: Guisado-Lizar, JL., Riscos-Núñez, A., Morón-Fernández, MJ., Wainer, G. (eds) Simulation Tools and Techniques. SIMUtools 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 519. Springer, Cham. https://doi.org/10.1007/978-3-031-57523-5_12
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DOI: https://doi.org/10.1007/978-3-031-57523-5_12
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