Urban multitarget tracking via gas-kinetic dynamics models
Multitarget tracking in urban environments presents a major theoretical and practical challenge. A recently suggested approach is that of modeling traffic dynamics using the fluid-kinetic methods of traffic-flow theory (TFT). I propose use of the newer, more general, gas-kinetic (GK) approach to TFT...
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| Format: | Conference Paper |
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2013
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| Online Access: | http://hdl.handle.net/20.500.11937/55466 |
| _version_ | 1848759629023019008 |
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| author | Mahler, Ronald |
| author_facet | Mahler, Ronald |
| author_sort | Mahler, Ronald |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Multitarget tracking in urban environments presents a major theoretical and practical challenge. A recently suggested approach is that of modeling traffic dynamics using the fluid-kinetic methods of traffic-flow theory (TFT). I propose use of the newer, more general, gas-kinetic (GK) approach to TFT. In GK, traffic flow is modeled as a one- or two-dimensional constrained gas. The paper demonstrates the following. (1) The foundational concept in GK-the "phase-space density"-is the same thing as the probability hypothesis density (PHD) of multitarget tracking theory. (2) The theoretically best-that-one-can do approach to TFT-based tracking is a PHD filter. (3) Better performance can be obtained by augmenting this PHD filter as a cardinalized PHD (CPHD) filter. A simple example is presented to illustrate how PHD/CPHD filters can be integrated with conventional macroscopic, mesoscopic, and microscopic TFT. © 2013 SPIE. |
| first_indexed | 2025-11-14T10:02:55Z |
| format | Conference Paper |
| id | curtin-20.500.11937-55466 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:02:55Z |
| publishDate | 2013 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-554662017-09-13T16:10:51Z Urban multitarget tracking via gas-kinetic dynamics models Mahler, Ronald Multitarget tracking in urban environments presents a major theoretical and practical challenge. A recently suggested approach is that of modeling traffic dynamics using the fluid-kinetic methods of traffic-flow theory (TFT). I propose use of the newer, more general, gas-kinetic (GK) approach to TFT. In GK, traffic flow is modeled as a one- or two-dimensional constrained gas. The paper demonstrates the following. (1) The foundational concept in GK-the "phase-space density"-is the same thing as the probability hypothesis density (PHD) of multitarget tracking theory. (2) The theoretically best-that-one-can do approach to TFT-based tracking is a PHD filter. (3) Better performance can be obtained by augmenting this PHD filter as a cardinalized PHD (CPHD) filter. A simple example is presented to illustrate how PHD/CPHD filters can be integrated with conventional macroscopic, mesoscopic, and microscopic TFT. © 2013 SPIE. 2013 Conference Paper http://hdl.handle.net/20.500.11937/55466 10.1117/12.2015448 restricted |
| spellingShingle | Mahler, Ronald Urban multitarget tracking via gas-kinetic dynamics models |
| title | Urban multitarget tracking via gas-kinetic dynamics models |
| title_full | Urban multitarget tracking via gas-kinetic dynamics models |
| title_fullStr | Urban multitarget tracking via gas-kinetic dynamics models |
| title_full_unstemmed | Urban multitarget tracking via gas-kinetic dynamics models |
| title_short | Urban multitarget tracking via gas-kinetic dynamics models |
| title_sort | urban multitarget tracking via gas-kinetic dynamics models |
| url | http://hdl.handle.net/20.500.11937/55466 |