Evolution of Traffic Microsimulation and Its Use for Modeling Connected and Automated Vehicles
Traffic microsimulation has a functional role in understanding the traffic performance on the road network. This study originated with intent to understand traffic microsimulation and its use in modeling connected and automated vehicles (CAVs). Initially, the paper focuses on understanding the evolu...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2021/2444363 |
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| _version_ | 1832550946075312128 |
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| author | Narayana Raju Haneen Farah |
| author_facet | Narayana Raju Haneen Farah |
| author_sort | Narayana Raju |
| collection | DOAJ |
| description | Traffic microsimulation has a functional role in understanding the traffic performance on the road network. This study originated with intent to understand traffic microsimulation and its use in modeling connected and automated vehicles (CAVs). Initially, the paper focuses on understanding the evolution of traffic microsimulation and on examining the various commercial and open-source simulation platforms available and their importance in traffic microsimulation studies. Following this, current autonomous vehicle (AV) microsimulation strategies are reviewed. From the review analysis, it is observed that AVs are modeled in traffic microsimulation with two sets of strategies. In the first set, the inbuilt models are used to replicate the driving behavior of AVs by adapting the models’ parameters. In the second strategy, AV behavior is programmed with the help of externalities (e.g., Application Programming Interface (API)). Studies simulating AVs with inbuilt models used mostly VISSIM compared to other microsimulation platforms. In addition, the studies are heavily focused on AVs’ penetration rate impact on traffic flow characteristics and traffic safety. On the other hand, studies which simulated AVs with externalities focused on the communication aspects for traffic management. Finally, the cosimulation strategies for simulating the CAVs are explored, and the ongoing research attempts are discussed. The present study identifies the limitations of present CAV microsimulation studies and proposes prospects and improvements in modeling AVs in traffic microsimulation. |
| format | Article |
| id | doaj-art-f2b410722e7742c59198aef316344e21 |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-f2b410722e7742c59198aef316344e212025-02-03T06:05:32ZengWileyJournal of Advanced Transportation0197-67292042-31952021-01-01202110.1155/2021/24443632444363Evolution of Traffic Microsimulation and Its Use for Modeling Connected and Automated VehiclesNarayana Raju0Haneen Farah1Department of Transport and Planning, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Stevinweg 1, 2628 CN Delft, NetherlandsDepartment of Transport and Planning, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Stevinweg 1, 2628 CN Delft, NetherlandsTraffic microsimulation has a functional role in understanding the traffic performance on the road network. This study originated with intent to understand traffic microsimulation and its use in modeling connected and automated vehicles (CAVs). Initially, the paper focuses on understanding the evolution of traffic microsimulation and on examining the various commercial and open-source simulation platforms available and their importance in traffic microsimulation studies. Following this, current autonomous vehicle (AV) microsimulation strategies are reviewed. From the review analysis, it is observed that AVs are modeled in traffic microsimulation with two sets of strategies. In the first set, the inbuilt models are used to replicate the driving behavior of AVs by adapting the models’ parameters. In the second strategy, AV behavior is programmed with the help of externalities (e.g., Application Programming Interface (API)). Studies simulating AVs with inbuilt models used mostly VISSIM compared to other microsimulation platforms. In addition, the studies are heavily focused on AVs’ penetration rate impact on traffic flow characteristics and traffic safety. On the other hand, studies which simulated AVs with externalities focused on the communication aspects for traffic management. Finally, the cosimulation strategies for simulating the CAVs are explored, and the ongoing research attempts are discussed. The present study identifies the limitations of present CAV microsimulation studies and proposes prospects and improvements in modeling AVs in traffic microsimulation.http://dx.doi.org/10.1155/2021/2444363 |
| spellingShingle | Narayana Raju Haneen Farah Evolution of Traffic Microsimulation and Its Use for Modeling Connected and Automated Vehicles Journal of Advanced Transportation |
| title | Evolution of Traffic Microsimulation and Its Use for Modeling Connected and Automated Vehicles |
| title_full | Evolution of Traffic Microsimulation and Its Use for Modeling Connected and Automated Vehicles |
| title_fullStr | Evolution of Traffic Microsimulation and Its Use for Modeling Connected and Automated Vehicles |
| title_full_unstemmed | Evolution of Traffic Microsimulation and Its Use for Modeling Connected and Automated Vehicles |
| title_short | Evolution of Traffic Microsimulation and Its Use for Modeling Connected and Automated Vehicles |
| title_sort | evolution of traffic microsimulation and its use for modeling connected and automated vehicles |
| url | http://dx.doi.org/10.1155/2021/2444363 |
| work_keys_str_mv | AT narayanaraju evolutionoftrafficmicrosimulationanditsuseformodelingconnectedandautomatedvehicles AT haneenfarah evolutionoftrafficmicrosimulationanditsuseformodelingconnectedandautomatedvehicles |