Integrated traffic control for mixed urban and freeway networks: A model predictive control approach
We develop a control method for networks containing both urban roads and freeways. These two road types are closely connected: congestion on the freeway often causes spill-back leading to urban queues, slowing down the urban traffic, and vice versa. As a consequence, control measures taken in one of...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
TU Delft OPEN Publishing
2007-06-01
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| Series: | European Journal of Transport and Infrastructure Research |
| Online Access: | https://journals.open.tudelft.nl/ejtir/article/view/3390 |
| _version_ | 1797427646731124736 |
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| author | Monique van den Berg Andreas Hegyi Bart de Schutter Hans Hellendoorn |
| author_facet | Monique van den Berg Andreas Hegyi Bart de Schutter Hans Hellendoorn |
| author_sort | Monique van den Berg |
| collection | DOAJ |
| description | We develop a control method for networks containing both urban roads and freeways. These two road types are closely connected: congestion on the freeway often causes spill-back leading to urban queues, slowing down the urban traffic, and vice versa. As a consequence, control measures taken in one of the two areas can have a significant influence on the other area. We first develop a model that describes the evolution of the traffic flows in mixed networks. Next, we propose the control method that is used for the integrated control. This approach is based on model predictive control, in which the optimal control inputs are determined on-line using numerical optimisation and a prediction model in combination with a receding horizon approach. We also compare our newly developed control method with systems that are similar to existing dynamic traffic control systems like SCOOT and UTOPIA/SPOT, in a qualitative as well as in a quantitative way via a simple case study. The results illustrate the potential benefits of the proposed approach and motivate further development and improvement of the proposed control method. |
| first_indexed | 2024-03-09T08:47:15Z |
| format | Article |
| id | doaj.art-7de20d3213d14e44a7a4e9dca44ab7b6 |
| institution | Directory Open Access Journal |
| issn | 1567-7141 |
| language | English |
| last_indexed | 2024-03-09T08:47:15Z |
| publishDate | 2007-06-01 |
| publisher | TU Delft OPEN Publishing |
| record_format | Article |
| series | European Journal of Transport and Infrastructure Research |
| spelling | doaj.art-7de20d3213d14e44a7a4e9dca44ab7b62023-12-02T15:06:30ZengTU Delft OPEN PublishingEuropean Journal of Transport and Infrastructure Research1567-71412007-06-017310.18757/ejtir.2007.7.3.33902991Integrated traffic control for mixed urban and freeway networks: A model predictive control approachMonique van den Berg0Andreas Hegyi1Bart de Schutter2Hans Hellendoorn3Delft University of TechnologyDelft University of TechnologyDelft University of TechnologyDelft University of TechnologyWe develop a control method for networks containing both urban roads and freeways. These two road types are closely connected: congestion on the freeway often causes spill-back leading to urban queues, slowing down the urban traffic, and vice versa. As a consequence, control measures taken in one of the two areas can have a significant influence on the other area. We first develop a model that describes the evolution of the traffic flows in mixed networks. Next, we propose the control method that is used for the integrated control. This approach is based on model predictive control, in which the optimal control inputs are determined on-line using numerical optimisation and a prediction model in combination with a receding horizon approach. We also compare our newly developed control method with systems that are similar to existing dynamic traffic control systems like SCOOT and UTOPIA/SPOT, in a qualitative as well as in a quantitative way via a simple case study. The results illustrate the potential benefits of the proposed approach and motivate further development and improvement of the proposed control method.https://journals.open.tudelft.nl/ejtir/article/view/3390 |
| spellingShingle | Monique van den Berg Andreas Hegyi Bart de Schutter Hans Hellendoorn Integrated traffic control for mixed urban and freeway networks: A model predictive control approach European Journal of Transport and Infrastructure Research |
| title | Integrated traffic control for mixed urban and freeway networks: A model predictive control approach |
| title_full | Integrated traffic control for mixed urban and freeway networks: A model predictive control approach |
| title_fullStr | Integrated traffic control for mixed urban and freeway networks: A model predictive control approach |
| title_full_unstemmed | Integrated traffic control for mixed urban and freeway networks: A model predictive control approach |
| title_short | Integrated traffic control for mixed urban and freeway networks: A model predictive control approach |
| title_sort | integrated traffic control for mixed urban and freeway networks a model predictive control approach |
| url | https://journals.open.tudelft.nl/ejtir/article/view/3390 |
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