---
_id: '24159'
abstract:
- lang: eng
  text: "The online fitting of a microscopic traffic simulation model to reconstruct
    the current state of a real traffic\r\narea can be challenging depending on the
    provided data. This paper presents a novel method based on limited\r\ndata from
    sensors positioned at specific locations and guarantees a general accordance of
    reality and\r\nsimulation in terms of multimodal road traffic counts and vehicle
    speeds. In these considerations, the actual\r\npurpose of research is of particular
    importance. Here, the research aims at improving the traffic flow by\r\ncontrolling
    the Traffic Light Systems (TLS) of the examined area which is why the current
    traffic state and\r\nthe route choices of individual road users are the matter
    of interest. An integer optimization problem is derived\r\nto fit the current
    simulation to the latest field measurements. The concept can be transferred to
    any road traffic\r\nnetwork and results in an observation of the current multimodal
    traffic state matching at the given sensor\r\nposition. First case studies show
    promosing results in terms of deviations between reality and simulation."
author:
- first_name: Kevin
  full_name: Malena, Kevin
  id: '36303'
  last_name: Malena
  orcid: 0000-0003-1183-4679
- first_name: Christopher
  full_name: Link, Christopher
  id: '38249'
  last_name: Link
- first_name: Sven
  full_name: Mertin, Sven
  id: '13195'
  last_name: Mertin
- first_name: Sandra
  full_name: Gausemeier, Sandra
  id: '17793'
  last_name: Gausemeier
- first_name: Ansgar
  full_name: Trächtler, Ansgar
  id: '552'
  last_name: Trächtler
citation:
  ama: 'Malena K, Link C, Mertin S, Gausemeier S, Trächtler A. Online State Estimation
    for Microscopic Traffic Simulations using Multiple Data Sources*. In: <i>VEHITS
    2021 Proceedings of the 7th International Conference on Vehicle Technology and
    Intelligent Transport Systems</i>. Vol 7. VEHITS 2021 Proceedings of the 7th International
    Conference on Vehicle Technology and Intelligent Transport Systems. SCITEPRESS;
    2021:386-395.'
  apa: Malena, K., Link, C., Mertin, S., Gausemeier, S., &#38; Trächtler, A. (2021).
    Online State Estimation for Microscopic Traffic Simulations using Multiple Data
    Sources*. <i>VEHITS 2021 Proceedings of the 7th International Conference on Vehicle
    Technology and Intelligent Transport Systems</i>, <i>7</i>, 386–395.
  bibtex: '@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} }'
  chicago: 'Malena, Kevin, Christopher Link, Sven Mertin, Sandra Gausemeier, and Ansgar
    Trächtler. “Online State Estimation for Microscopic Traffic Simulations Using
    Multiple Data Sources*.” In <i>VEHITS 2021 Proceedings of the 7th International
    Conference on Vehicle Technology and Intelligent Transport Systems</i>, 7:386–95.
    VEHITS 2021 Proceedings of the 7th International Conference on Vehicle Technology
    and Intelligent Transport Systems. Portugal: SCITEPRESS, 2021.'
  ieee: K. Malena, C. Link, S. Mertin, S. Gausemeier, and A. Trächtler, “Online State
    Estimation for Microscopic Traffic Simulations using Multiple Data Sources*,”
    in <i>VEHITS 2021 Proceedings of the 7th International Conference on Vehicle Technology
    and Intelligent Transport Systems</i>, Online Streaming, 2021, vol. 7, pp. 386–395.
  mla: Malena, Kevin, et al. “Online State Estimation for Microscopic Traffic Simulations
    Using Multiple Data Sources*.” <i>VEHITS 2021 Proceedings of the 7th International
    Conference on Vehicle Technology and Intelligent Transport Systems</i>, vol. 7,
    SCITEPRESS, 2021, pp. 386–95.
  short: '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.'
conference:
  end_date: 2021-04-30
  location: Online Streaming
  name: 7th International Conference on Vehicle Technology and Intelligent Transport
    Systems
  start_date: 2021-04-28
date_created: 2021-09-10T12:19:14Z
date_updated: 2026-01-26T08:49:53Z
department:
- _id: '153'
intvolume: '         7'
keyword:
- Microscopic Traffic Simulation
- Online State Estimation
- Mixed Road Users
- Sensor Fusion
- Integer Programming
- Route Choice
- Vehicle2Infrastructure
language:
- iso: eng
main_file_link:
- url: https://www.scitepress.org/PublicationsDetail.aspx?ID=3xZWfOSENWk=&t=1
page: 386-395
place: Portugal
project:
- _id: '688'
  name: Pilotprojekt "Schlosskreuzung"
publication: VEHITS 2021 Proceedings of the 7th International Conference on Vehicle
  Technology and Intelligent Transport Systems
publication_identifier:
  isbn:
  - 978-989-758-513-5
publication_status: published
publisher: SCITEPRESS
quality_controlled: '1'
related_material:
  link:
  - relation: confirmation
    url: https://www.scitepress.org/PublicationsDetail.aspx?ID=3xZWfOSENWk=&t=1
  record:
  - id: '33849'
    relation: is_continued_by
    status: public
series_title: VEHITS 2021 Proceedings of the 7th International Conference on Vehicle
  Technology and Intelligent Transport Systems
status: public
title: Online State Estimation for Microscopic Traffic Simulations using Multiple
  Data Sources*
type: conference
user_id: '36303'
volume: 7
year: '2021'
...