Modelling the Effects of Traffic-Calming Introduction to Volume–Delay Functions and Traffic Assignment
Traffic calming is introduced to minimise the negative results of motor vehicle use, for example, low safety level or quality of life, high noise and pollution. It can be implemented through the introduction of road infrastructure reducing the velocity and the traffic volume. In this paper, we studi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-06-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/14/13/3726 |
| _version_ | 1827689136685842432 |
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| author | Jan Paszkowski Marcus Herrmann Matthias Richter Andrzej Szarata |
| author_facet | Jan Paszkowski Marcus Herrmann Matthias Richter Andrzej Szarata |
| author_sort | Jan Paszkowski |
| collection | DOAJ |
| description | Traffic calming is introduced to minimise the negative results of motor vehicle use, for example, low safety level or quality of life, high noise and pollution. It can be implemented through the introduction of road infrastructure reducing the velocity and the traffic volume. In this paper, we studied how traffic-calming influences the traffic assignment. For the research, a traffic-calming measure of speed cushions on the Stachiewicza street in Krakow was taken. A method of extracting trajectories from aerial footage was shown, and it was used to build a model. For a given example, through driving characteristics research and microscopic modelling, volume–delay BPR functions were estimated—for a street with and without traffic calming. Later, a toy network of two roads of the same length, connecting the same origin and destination, was simulated using an equilibrium traffic assignment method. Simulations were conducted both with the use of PTV Vissim and Visum software and through individual calculations. According to the results of this paper, there was a difference in traffic volume according to the equilibrium traffic assignment in the aforementioned toy network as a function of total network traffic volume. |
| first_indexed | 2024-03-10T10:11:34Z |
| format | Article |
| id | doaj.art-4b778ed2215545d38700982902b1b2c9 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T10:11:34Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-4b778ed2215545d38700982902b1b2c92023-11-22T01:09:34ZengMDPI AGEnergies1996-10732021-06-011413372610.3390/en14133726Modelling the Effects of Traffic-Calming Introduction to Volume–Delay Functions and Traffic AssignmentJan Paszkowski0Marcus Herrmann1Matthias Richter2Andrzej Szarata3Politechnika Krakowska, ul. Warszawska 24, 31-155 Kraków, PolandWestsächsische Hochschule Zwickau, Kornmarkt 1, 08056 Zwickau, GermanyWestsächsische Hochschule Zwickau, Kornmarkt 1, 08056 Zwickau, GermanyPolitechnika Krakowska, ul. Warszawska 24, 31-155 Kraków, PolandTraffic calming is introduced to minimise the negative results of motor vehicle use, for example, low safety level or quality of life, high noise and pollution. It can be implemented through the introduction of road infrastructure reducing the velocity and the traffic volume. In this paper, we studied how traffic-calming influences the traffic assignment. For the research, a traffic-calming measure of speed cushions on the Stachiewicza street in Krakow was taken. A method of extracting trajectories from aerial footage was shown, and it was used to build a model. For a given example, through driving characteristics research and microscopic modelling, volume–delay BPR functions were estimated—for a street with and without traffic calming. Later, a toy network of two roads of the same length, connecting the same origin and destination, was simulated using an equilibrium traffic assignment method. Simulations were conducted both with the use of PTV Vissim and Visum software and through individual calculations. According to the results of this paper, there was a difference in traffic volume according to the equilibrium traffic assignment in the aforementioned toy network as a function of total network traffic volume.https://www.mdpi.com/1996-1073/14/13/3726traffic calmingtraffic modellingvolume–delay functionstraffic assignment |
| spellingShingle | Jan Paszkowski Marcus Herrmann Matthias Richter Andrzej Szarata Modelling the Effects of Traffic-Calming Introduction to Volume–Delay Functions and Traffic Assignment Energies traffic calming traffic modelling volume–delay functions traffic assignment |
| title | Modelling the Effects of Traffic-Calming Introduction to Volume–Delay Functions and Traffic Assignment |
| title_full | Modelling the Effects of Traffic-Calming Introduction to Volume–Delay Functions and Traffic Assignment |
| title_fullStr | Modelling the Effects of Traffic-Calming Introduction to Volume–Delay Functions and Traffic Assignment |
| title_full_unstemmed | Modelling the Effects of Traffic-Calming Introduction to Volume–Delay Functions and Traffic Assignment |
| title_short | Modelling the Effects of Traffic-Calming Introduction to Volume–Delay Functions and Traffic Assignment |
| title_sort | modelling the effects of traffic calming introduction to volume delay functions and traffic assignment |
| topic | traffic calming traffic modelling volume–delay functions traffic assignment |
| url | https://www.mdpi.com/1996-1073/14/13/3726 |
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