Impact of different car-following models on estimating safety and emissions on signal-controlled intersections using microscopic simulations
This paper examines the influence of two selected car-following models on the outcomes of microscopic traffic simulations. The authors begin by reviewing the literature on the various traffic models, methods for estimating energy consumption, fuel use, and emissions. The authors discuss using surro...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Faculty of Transport, Warsaw University of Technology
2024-12-01
|
| Series: | Archives of Transport |
| Subjects: | |
| Online Access: | https://www.archivesoftransport.com/index.php/aot/article/view/668 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832595590923419648 |
|---|---|
| author | Konrad Biszko Jacek Oskarbski Karol Żarski |
| author_facet | Konrad Biszko Jacek Oskarbski Karol Żarski |
| author_sort | Konrad Biszko |
| collection | DOAJ |
| description |
This paper examines the influence of two selected car-following models on the outcomes of microscopic traffic simulations. The authors begin by reviewing the literature on the various traffic models, methods for estimating energy consumption, fuel use, and emissions. The authors discuss using surrogate safety measures derived from analysing vehicle trajectories in a microscopic traffic model to estimate safety levels. This paper also outlines the authors' approach to data acquisition and processing at the chosen test site. Most data are sourced from the city's Intelligent Transport System (ITS) services, including traffic flow volume, vehicle speed, and public transport travel times. The data gathered from Automatic Vehicle Location (AVL) systems was compared to manual travel time measurements. Depending on the analysed section Mean Average Error (MAE) ranging from 3 to 5 seconds was obtained, however, Mean Absolute Percentage Error (MAPE) ranged from 7.46% to 30.01%. The proposed method aims to evaluate the precision of the microscopic model in replicating real road networks and traffic based on available datasets. Two car-following models (CFM), Wiedemann 74 (W74), and Wiedemann 99 (W99) are chosen for further analysis. The models were validated using the GEH statistic and by comparing speed distributions. Both the models yielded satisfactory results. Different scenarios involving changes in traffic flow and to traffic signal configurations were analysed. While both W74 and W99 yielded satisfactory results, there were discernible disparities in the analyses. In general, W99 yields less favourable results, characterised by emissions, and delays compared to W74. Depending on the scenarios compared, the number of conflicts for W74 varied up to 56% (scenarios 2 and 4), and up to 78% for W99 (scenarios 1 and 4). The methodology presented by the authors can be used in future research to analyse various traffic control solutions concerning their impact on the environment and traffic safety. The observed differences underscore the importance of careful model selection and presented approach can serve as a foundation for developing guidelines for microscopic modelling and a multi-criteria approach to selecting the most effective implementation scenarios.
|
| format | Article |
| id | doaj-art-0ee3c57d88fb49c8895aef0244fc4fbb |
| institution | Kabale University |
| issn | 0866-9546 2300-8830 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Faculty of Transport, Warsaw University of Technology |
| record_format | Article |
| series | Archives of Transport |
| spelling | doaj-art-0ee3c57d88fb49c8895aef0244fc4fbb2025-01-18T12:15:35ZengFaculty of Transport, Warsaw University of TechnologyArchives of Transport0866-95462300-88302024-12-0172410.61089/aot2024.eb2hfe27Impact of different car-following models on estimating safety and emissions on signal-controlled intersections using microscopic simulationsKonrad Biszko0https://orcid.org/0000-0002-6877-7348Jacek Oskarbski1https://orcid.org/0000-0003-0651-4902Karol Żarski2https://orcid.org/0000-0003-2848-0790Gdańsk University of Technology, Faculty of Civil and Environmental Engineering, Department of Transportation Engineering, Gdańsk, PolandGdańsk University of Technology, Faculty of Civil and Environmental Engineering, Department of Transportation Engineering, Gdańsk, PolandGdańsk University of Technology, Faculty of Civil and Environmental Engineering, Department of Transportation Engineering, Gdańsk, Poland This paper examines the influence of two selected car-following models on the outcomes of microscopic traffic simulations. The authors begin by reviewing the literature on the various traffic models, methods for estimating energy consumption, fuel use, and emissions. The authors discuss using surrogate safety measures derived from analysing vehicle trajectories in a microscopic traffic model to estimate safety levels. This paper also outlines the authors' approach to data acquisition and processing at the chosen test site. Most data are sourced from the city's Intelligent Transport System (ITS) services, including traffic flow volume, vehicle speed, and public transport travel times. The data gathered from Automatic Vehicle Location (AVL) systems was compared to manual travel time measurements. Depending on the analysed section Mean Average Error (MAE) ranging from 3 to 5 seconds was obtained, however, Mean Absolute Percentage Error (MAPE) ranged from 7.46% to 30.01%. The proposed method aims to evaluate the precision of the microscopic model in replicating real road networks and traffic based on available datasets. Two car-following models (CFM), Wiedemann 74 (W74), and Wiedemann 99 (W99) are chosen for further analysis. The models were validated using the GEH statistic and by comparing speed distributions. Both the models yielded satisfactory results. Different scenarios involving changes in traffic flow and to traffic signal configurations were analysed. While both W74 and W99 yielded satisfactory results, there were discernible disparities in the analyses. In general, W99 yields less favourable results, characterised by emissions, and delays compared to W74. Depending on the scenarios compared, the number of conflicts for W74 varied up to 56% (scenarios 2 and 4), and up to 78% for W99 (scenarios 1 and 4). The methodology presented by the authors can be used in future research to analyse various traffic control solutions concerning their impact on the environment and traffic safety. The observed differences underscore the importance of careful model selection and presented approach can serve as a foundation for developing guidelines for microscopic modelling and a multi-criteria approach to selecting the most effective implementation scenarios. https://www.archivesoftransport.com/index.php/aot/article/view/668Traffic modellingcar-following modelsmodelling safetymodelling emissionsmicroscopic traffic simulations |
| spellingShingle | Konrad Biszko Jacek Oskarbski Karol Żarski Impact of different car-following models on estimating safety and emissions on signal-controlled intersections using microscopic simulations Archives of Transport Traffic modelling car-following models modelling safety modelling emissions microscopic traffic simulations |
| title | Impact of different car-following models on estimating safety and emissions on signal-controlled intersections using microscopic simulations |
| title_full | Impact of different car-following models on estimating safety and emissions on signal-controlled intersections using microscopic simulations |
| title_fullStr | Impact of different car-following models on estimating safety and emissions on signal-controlled intersections using microscopic simulations |
| title_full_unstemmed | Impact of different car-following models on estimating safety and emissions on signal-controlled intersections using microscopic simulations |
| title_short | Impact of different car-following models on estimating safety and emissions on signal-controlled intersections using microscopic simulations |
| title_sort | impact of different car following models on estimating safety and emissions on signal controlled intersections using microscopic simulations |
| topic | Traffic modelling car-following models modelling safety modelling emissions microscopic traffic simulations |
| url | https://www.archivesoftransport.com/index.php/aot/article/view/668 |
| work_keys_str_mv | AT konradbiszko impactofdifferentcarfollowingmodelsonestimatingsafetyandemissionsonsignalcontrolledintersectionsusingmicroscopicsimulations AT jacekoskarbski impactofdifferentcarfollowingmodelsonestimatingsafetyandemissionsonsignalcontrolledintersectionsusingmicroscopicsimulations AT karolzarski impactofdifferentcarfollowingmodelsonestimatingsafetyandemissionsonsignalcontrolledintersectionsusingmicroscopicsimulations |