---
_id: '44390'
abstract:
- lang: eng
  text: The development of autonomous vehicles and their introduction in urban traffic
    offer many opportunities for traffic improvements. In this paper, an approach
    for a future traffic control system for mixed autonomy traffic environments is
    presented. Furthermore, a simulation framework based on the city of Paderborn
    is introduced to enable the development and examination of such a system. This
    encompasses multiple elements including the road network itself, traffic lights,
    sensors as well as methods to analyse the topology of the network. Furthermore,
    a procedure for traffic demand generation and routing is presented based on statistical
    data of the city and traffic data obtained by measurements. The resulting model
    can receive and apply the generated control inputs and in turn generates simulated
    sensor data for the control system based on the current system state.
author:
- first_name: Christopher
  full_name: Link, Christopher
  id: '38249'
  last_name: Link
- first_name: Kevin
  full_name: Malena, Kevin
  id: '36303'
  last_name: Malena
  orcid: 0000-0003-1183-4679
- 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: 'Link C, Malena K, Gausemeier S, Trächtler A. Simulation Environment for Traffic
    Control Systems Targeting Mixed Autonomy Traffic Scenarios. In: <i>Proceedings
    of the 9th International Conference on Vehicle Technology and Intelligent Transport
    Systems</i>. SCITEPRESS - Science and Technology Publications; 2023. doi:<a href="https://doi.org/10.5220/0011987600003479">10.5220/0011987600003479</a>'
  apa: Link, C., Malena, K., Gausemeier, S., &#38; Trächtler, A. (2023). Simulation
    Environment for Traffic Control Systems Targeting Mixed Autonomy Traffic Scenarios.
    <i>Proceedings of the 9th International Conference on Vehicle Technology and Intelligent
    Transport Systems</i>. 9th International Conference on Vehicle Technology and
    Intelligent Transport Systems (VEHITS 2023), Prague, Czech Republic. <a href="https://doi.org/10.5220/0011987600003479">https://doi.org/10.5220/0011987600003479</a>
  bibtex: '@inproceedings{Link_Malena_Gausemeier_Trächtler_2023, title={Simulation
    Environment for Traffic Control Systems Targeting Mixed Autonomy Traffic Scenarios},
    DOI={<a href="https://doi.org/10.5220/0011987600003479">10.5220/0011987600003479</a>},
    booktitle={Proceedings of the 9th International Conference on Vehicle Technology
    and Intelligent Transport Systems}, publisher={SCITEPRESS - Science and Technology
    Publications}, author={Link, Christopher and Malena, Kevin and Gausemeier, Sandra
    and Trächtler, Ansgar}, year={2023} }'
  chicago: Link, Christopher, Kevin Malena, Sandra Gausemeier, and Ansgar Trächtler.
    “Simulation Environment for Traffic Control Systems Targeting Mixed Autonomy Traffic
    Scenarios.” In <i>Proceedings of the 9th International Conference on Vehicle Technology
    and Intelligent Transport Systems</i>. SCITEPRESS - Science and Technology Publications,
    2023. <a href="https://doi.org/10.5220/0011987600003479">https://doi.org/10.5220/0011987600003479</a>.
  ieee: 'C. Link, K. Malena, S. Gausemeier, and A. Trächtler, “Simulation Environment
    for Traffic Control Systems Targeting Mixed Autonomy Traffic Scenarios,” presented
    at the 9th International Conference on Vehicle Technology and Intelligent Transport
    Systems (VEHITS 2023), Prague, Czech Republic, 2023, doi: <a href="https://doi.org/10.5220/0011987600003479">10.5220/0011987600003479</a>.'
  mla: Link, Christopher, et al. “Simulation Environment for Traffic Control Systems
    Targeting Mixed Autonomy Traffic Scenarios.” <i>Proceedings of the 9th International
    Conference on Vehicle Technology and Intelligent Transport Systems</i>, SCITEPRESS
    - Science and Technology Publications, 2023, doi:<a href="https://doi.org/10.5220/0011987600003479">10.5220/0011987600003479</a>.
  short: 'C. Link, K. Malena, S. Gausemeier, A. Trächtler, in: Proceedings of the
    9th International Conference on Vehicle Technology and Intelligent Transport Systems,
    SCITEPRESS - Science and Technology Publications, 2023.'
conference:
  end_date: 2023-04-28
  location: Prague, Czech Republic
  name: 9th International Conference on Vehicle Technology and Intelligent Transport
    Systems (VEHITS 2023)
  start_date: 2023-04-26
date_created: 2023-05-03T08:57:10Z
date_updated: 2023-05-03T09:15:19Z
department:
- _id: '153'
doi: 10.5220/0011987600003479
keyword:
- Traffic Simulation
- Traffic Control
- Car2X
- Mixed Autonomy
- Autonomous Vehicles
- SUMO
- Sensor Simulation
- Traffic Demand Generation
- Routing
- Traffic Lights
- Graph Analysis
- Traffic Observer
language:
- iso: eng
main_file_link:
- url: https://www.scitepress.org/Link.aspx?doi=10.5220/0011987600003479
publication: Proceedings of the 9th International Conference on Vehicle Technology
  and Intelligent Transport Systems
publication_identifier:
  isbn:
  - 978-989-758-652-1
publication_status: published
publisher: SCITEPRESS - Science and Technology Publications
quality_controlled: '1'
status: public
title: Simulation Environment for Traffic Control Systems Targeting Mixed Autonomy
  Traffic Scenarios
type: conference
user_id: '38249'
year: '2023'
...
---
_id: '33849'
abstract:
- lang: eng
  text: Modern traffic control systems are key to cope with current and future traffic
    challenges. In this paper information obtained from a microscopic traffic estimation
    using various data sources is used to feed a new developed traffic control approach.
    The presented method can control a traffic area with multiple traffic light systems
    (TLS) reacting to individual road users and pedestrians. In contrast to widespread
    green time extension techniques, this control selects the best phase sequence
    by analyzing the current traffic state reconstructed in SUMO and its predicted
    progress. To achieve this, the key aspect of the control strategy is to use Model
    Predictive Control (MPC). In order to maintain realism for real world applications,
    among other things, the traffic phase transitions are modelled in detail and integrated
    within the prediction. For the efficiency, the approach incorporates a fuzzy logic
    preselection of all phases reducing the computational effort. The evaluation itself
    is able to be easily adjusted to focus on various objectives like low occupancies,
    reducing waiting times and emissions, few number of phase transitions etc. determining
    the best switching times for the selected phases. Exemplary traffic simulations
    demonstrate the functionality of the MPC-based control and, in addition, some
    aspects under development like the real-world communication network are also discussed.
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: Leon
  full_name: Bußemas, Leon
  id: '51118'
  last_name: Bußemas
- 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, Bußemas L, Gausemeier S, Trächtler A. Traffic Estimation
    and MPC-Based Traffic Light System Control in Realistic Real-Time Traffic Environments.
    In: Klein C, Jarke M, Helfert M, Berns K, Gusikhin O, eds. <i>Communications in
    Computer and Information Science</i>. Vol 1612. Communications in Computer and
    Information Science. Springer International Publishing; 2022:232–254. doi:<a href="https://doi.org/10.1007/978-3-031-17098-0_12">10.1007/978-3-031-17098-0_12</a>'
  apa: Malena, K., Link, C., Bußemas, L., Gausemeier, S., &#38; Trächtler, A. (2022).
    Traffic Estimation and MPC-Based Traffic Light System Control in Realistic Real-Time
    Traffic Environments. In C. Klein, M. Jarke, M. Helfert, K. Berns, &#38; O. Gusikhin
    (Eds.), <i>Communications in Computer and Information Science</i> (Vol. 1612,
    pp. 232–254). Springer International Publishing. <a href="https://doi.org/10.1007/978-3-031-17098-0_12">https://doi.org/10.1007/978-3-031-17098-0_12</a>
  bibtex: '@inbook{Malena_Link_Bußemas_Gausemeier_Trächtler_2022, place={Cham}, series={Communications
    in Computer and Information Science}, title={Traffic Estimation and MPC-Based
    Traffic Light System Control in Realistic Real-Time Traffic Environments}, volume={1612},
    DOI={<a href="https://doi.org/10.1007/978-3-031-17098-0_12">10.1007/978-3-031-17098-0_12</a>},
    booktitle={Communications in Computer and Information Science}, publisher={Springer
    International Publishing}, author={Malena, Kevin and Link, Christopher and Bußemas,
    Leon and Gausemeier, Sandra and Trächtler, Ansgar}, editor={Klein, Cornel and
    Jarke, Mathias and Helfert, Markus and Berns, Karsten and Gusikhin, Oleg}, year={2022},
    pages={232–254}, collection={Communications in Computer and Information Science}
    }'
  chicago: 'Malena, Kevin, Christopher Link, Leon Bußemas, Sandra Gausemeier, and
    Ansgar Trächtler. “Traffic Estimation and MPC-Based Traffic Light System Control
    in Realistic Real-Time Traffic Environments.” In <i>Communications in Computer
    and Information Science</i>, edited by Cornel Klein, Mathias Jarke, Markus Helfert,
    Karsten Berns, and Oleg Gusikhin, 1612:232–254. Communications in Computer and
    Information Science. Cham: Springer International Publishing, 2022. <a href="https://doi.org/10.1007/978-3-031-17098-0_12">https://doi.org/10.1007/978-3-031-17098-0_12</a>.'
  ieee: 'K. Malena, C. Link, L. Bußemas, S. Gausemeier, and A. Trächtler, “Traffic
    Estimation and MPC-Based Traffic Light System Control in Realistic Real-Time Traffic
    Environments,” in <i>Communications in Computer and Information Science</i>, vol.
    1612, C. Klein, M. Jarke, M. Helfert, K. Berns, and O. Gusikhin, Eds. Cham: Springer
    International Publishing, 2022, pp. 232–254.'
  mla: Malena, Kevin, et al. “Traffic Estimation and MPC-Based Traffic Light System
    Control in Realistic Real-Time Traffic Environments.” <i>Communications in Computer
    and Information Science</i>, edited by Cornel Klein et al., vol. 1612, Springer
    International Publishing, 2022, pp. 232–254, doi:<a href="https://doi.org/10.1007/978-3-031-17098-0_12">10.1007/978-3-031-17098-0_12</a>.
  short: 'K. Malena, C. Link, L. Bußemas, S. Gausemeier, A. Trächtler, in: C. Klein,
    M. Jarke, M. Helfert, K. Berns, O. Gusikhin (Eds.), Communications in Computer
    and Information Science, Springer International Publishing, Cham, 2022, pp. 232–254.'
date_created: 2022-10-20T15:06:39Z
date_updated: 2026-01-26T08:49:52Z
department:
- _id: '153'
doi: 10.1007/978-3-031-17098-0_12
editor:
- first_name: Cornel
  full_name: Klein, Cornel
  last_name: Klein
- first_name: Mathias
  full_name: Jarke, Mathias
  last_name: Jarke
- first_name: Markus
  full_name: Helfert, Markus
  last_name: Helfert
- first_name: Karsten
  full_name: Berns, Karsten
  last_name: Berns
- first_name: Oleg
  full_name: Gusikhin, Oleg
  last_name: Gusikhin
intvolume: '      1612'
keyword:
- Traffic control
- Traffic estimation
- Real-time
- MPC
- Fuzzy
- Isolated intersection
- Networked intersection
- Sensor fusion
language:
- iso: eng
page: 232–254
place: Cham
publication: Communications in Computer and Information Science
publication_identifier:
  isbn:
  - '9783031170973'
  - '9783031170980'
  issn:
  - 1865-0929
  - 1865-0937
publication_status: published
publisher: Springer International Publishing
quality_controlled: '1'
related_material:
  record:
  - id: '24159'
    relation: continues
    status: public
series_title: Communications in Computer and Information Science
status: public
title: Traffic Estimation and MPC-Based Traffic Light System Control in Realistic
  Real-Time Traffic Environments
type: book_chapter
user_id: '552'
volume: 1612
year: '2022'
...