Online State Estimation for Microscopic Traffic Simulations using Multiple Data Sources*

K. Malena, C. Link, S. Mertin, S. Gausemeier, A. Trächtler, in: VEHITS 2021 Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems, SCITEPRESS, Portugal, 2021, pp. 386–395.

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Conference Paper | Published | English
Abstract
The online fitting of a microscopic traffic simulation model to reconstruct the current state of a real traffic area can be challenging depending on the provided data. This paper presents a novel method based on limited data from sensors positioned at specific locations and guarantees a general accordance of reality and simulation in terms of multimodal road traffic counts and vehicle speeds. In these considerations, the actual purpose of research is of particular importance. Here, the research aims at improving the traffic flow by controlling the Traffic Light Systems (TLS) of the examined area which is why the current traffic state and the route choices of individual road users are the matter of interest. An integer optimization problem is derived to fit the current simulation to the latest field measurements. The concept can be transferred to any road traffic network and results in an observation of the current multimodal traffic state matching at the given sensor position. First case studies show promosing results in terms of deviations between reality and simulation.
Publishing Year
Proceedings Title
VEHITS 2021 Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems
Volume
7
Page
386-395
Conference
7th International Conference on Vehicle Technology and Intelligent Transport Systems
Conference Location
Online Streaming
Conference Date
2021-04-28 – 2021-04-30
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Malena K, Link C, Mertin S, Gausemeier S, Trächtler A. Online State Estimation for Microscopic Traffic Simulations using Multiple Data Sources*. In: VEHITS 2021 Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems. Vol 7. VEHITS 2021 Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems. SCITEPRESS; 2021:386-395.
Malena, K., Link, C., Mertin, S., Gausemeier, S., & Trächtler, A. (2021). Online State Estimation for Microscopic Traffic Simulations using Multiple Data Sources*. VEHITS 2021 Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems, 7, 386–395.
@inproceedings{Malena_Link_Mertin_Gausemeier_Trächtler_2021, place={Portugal}, series={VEHITS 2021 Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems}, title={Online State Estimation for Microscopic Traffic Simulations using Multiple Data Sources*}, volume={7}, booktitle={VEHITS 2021 Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems}, publisher={SCITEPRESS}, author={Malena, Kevin and Link, Christopher and Mertin, Sven and Gausemeier, Sandra and Trächtler, Ansgar}, year={2021}, pages={386–395}, collection={VEHITS 2021 Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems} }
Malena, Kevin, Christopher Link, Sven Mertin, Sandra Gausemeier, and Ansgar Trächtler. “Online State Estimation for Microscopic Traffic Simulations Using Multiple Data Sources*.” In VEHITS 2021 Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems, 7:386–95. VEHITS 2021 Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems. Portugal: SCITEPRESS, 2021.
K. Malena, C. Link, S. Mertin, S. Gausemeier, and A. Trächtler, “Online State Estimation for Microscopic Traffic Simulations using Multiple Data Sources*,” in VEHITS 2021 Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems, Online Streaming, 2021, vol. 7, pp. 386–395.
Malena, Kevin, et al. “Online State Estimation for Microscopic Traffic Simulations Using Multiple Data Sources*.” VEHITS 2021 Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems, vol. 7, SCITEPRESS, 2021, pp. 386–95.

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