Incident indicators for freeway traffic flow models
Developed in this paper is a traffic flow model parametrised to describe abnormal traffic behaviour. In large traffic networks, the immediate detection and categorisation of traffic incidents/accidents is of capital importance to avoid breakdowns, further accidents. First, this claims for traffic fl...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-12-01
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| Series: | Communications in Transportation Research |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772424722000105 |
| _version_ | 1797983698093604864 |
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| author | Azita Dabiri Balázs Kulcsár |
| author_facet | Azita Dabiri Balázs Kulcsár |
| author_sort | Azita Dabiri |
| collection | DOAJ |
| description | Developed in this paper is a traffic flow model parametrised to describe abnormal traffic behaviour. In large traffic networks, the immediate detection and categorisation of traffic incidents/accidents is of capital importance to avoid breakdowns, further accidents. First, this claims for traffic flow models capable to capture abnormal traffic condition like accidents. Second, by means of proper real-time estimation technique, observing accident related parameters, one may even categorize the severity of accidents. Hence, in this paper, we suggest to modify the nominal Aw-Rascle (AR) traffic model by a proper incident related parametrisation. The proposed Incident Traffic Flow (ITF) model is defined by introducing the incident parameters modifying the anticipation and the dynamic speed relaxation terms in the speed equation of the AR model. These modifications are proven to have physical meaning. Furthermore, the characteristic properties of the ITF model is discussed in the paper. A multi stage numerical scheme is suggested to discretise in space and time the resulting non-homogeneous system of PDEs. The resulting systems of ODE is then combined with receding horizon estimation methods to reconstruct the incident parameters. Finally, the viability of the suggested incident parametrisation is validated in a simulation environment. |
| first_indexed | 2024-04-11T06:50:21Z |
| format | Article |
| id | doaj.art-899293eae20a4fdb9cd984837d1a09a1 |
| institution | Directory Open Access Journal |
| issn | 2772-4247 |
| language | English |
| last_indexed | 2024-04-11T06:50:21Z |
| publishDate | 2022-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Communications in Transportation Research |
| spelling | doaj.art-899293eae20a4fdb9cd984837d1a09a12022-12-22T04:39:13ZengElsevierCommunications in Transportation Research2772-42472022-12-012100060Incident indicators for freeway traffic flow modelsAzita Dabiri0Balázs Kulcsár1Delft Center for Systems and Control, Delft University of Technology, 2628 CN, Delft, the NetherlandsDepartment of Electrical Engineering, Chalmers University of Technology, 41296, Gothenburg, Sweden; Corresponding author.Developed in this paper is a traffic flow model parametrised to describe abnormal traffic behaviour. In large traffic networks, the immediate detection and categorisation of traffic incidents/accidents is of capital importance to avoid breakdowns, further accidents. First, this claims for traffic flow models capable to capture abnormal traffic condition like accidents. Second, by means of proper real-time estimation technique, observing accident related parameters, one may even categorize the severity of accidents. Hence, in this paper, we suggest to modify the nominal Aw-Rascle (AR) traffic model by a proper incident related parametrisation. The proposed Incident Traffic Flow (ITF) model is defined by introducing the incident parameters modifying the anticipation and the dynamic speed relaxation terms in the speed equation of the AR model. These modifications are proven to have physical meaning. Furthermore, the characteristic properties of the ITF model is discussed in the paper. A multi stage numerical scheme is suggested to discretise in space and time the resulting non-homogeneous system of PDEs. The resulting systems of ODE is then combined with receding horizon estimation methods to reconstruct the incident parameters. Finally, the viability of the suggested incident parametrisation is validated in a simulation environment.http://www.sciencedirect.com/science/article/pii/S2772424722000105Macroscopic traffic flow modelsAw-Rascle modelTraffic accidentsMoving horizonPDEODE |
| spellingShingle | Azita Dabiri Balázs Kulcsár Incident indicators for freeway traffic flow models Communications in Transportation Research Macroscopic traffic flow models Aw-Rascle model Traffic accidents Moving horizon PDE ODE |
| title | Incident indicators for freeway traffic flow models |
| title_full | Incident indicators for freeway traffic flow models |
| title_fullStr | Incident indicators for freeway traffic flow models |
| title_full_unstemmed | Incident indicators for freeway traffic flow models |
| title_short | Incident indicators for freeway traffic flow models |
| title_sort | incident indicators for freeway traffic flow models |
| topic | Macroscopic traffic flow models Aw-Rascle model Traffic accidents Moving horizon PDE ODE |
| url | http://www.sciencedirect.com/science/article/pii/S2772424722000105 |
| work_keys_str_mv | AT azitadabiri incidentindicatorsforfreewaytrafficflowmodels AT balazskulcsar incidentindicatorsforfreewaytrafficflowmodels |