An Approach for Handling Uncertainties Related to Behaviour and Vehicle Mixes in Traffic Simulation Experiments with Automated Vehicles
The introduction of automated vehicles is expected to affect traffic performance. Microscopic traffic simulation offers good possibilities to investigate the potential effects of the introduction of automated vehicles. However, current microscopic traffic simulation models are designed for modelling...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2020/8850591 |
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| _version_ | 1832560192541163520 |
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| author | Johan Olstam Fredrik Johansson Adriano Alessandrini Peter Sukennik Jochen Lohmiller Markus Friedrich |
| author_facet | Johan Olstam Fredrik Johansson Adriano Alessandrini Peter Sukennik Jochen Lohmiller Markus Friedrich |
| author_sort | Johan Olstam |
| collection | DOAJ |
| description | The introduction of automated vehicles is expected to affect traffic performance. Microscopic traffic simulation offers good possibilities to investigate the potential effects of the introduction of automated vehicles. However, current microscopic traffic simulation models are designed for modelling human-driven vehicles. Thus, modelling the behaviour of automated vehicles requires further development. There are several possible ways to extend the models, but independent of approach a large problem is that the information available on how automated vehicles will behave is limited to today’s partly automated vehicles. How future generations of automated vehicles will behave will be unknown for some time. There are also large uncertainties related to what automation functions are technically feasible, allowed, and actually activated by the users, for different road environments and at different stages of the transition from 0 to 100% of automated vehicles. This article presents an approach for handling several of these uncertainties by introducing conceptual descriptions of four different types of driving behaviour of automated vehicles (Rail-safe, Cautious, Normal, and All-knowing) and presents how these driving logics can be implemented in a commonly used traffic simulation program. The driving logics are also linked to assumptions on which logic that could operate in which environment at which part of the transition period. Simulation results for four different types of road facilities are also presented to illustrate potential effects on traffic performance of the driving logics. The simulation results show large variations in throughput, from large decreases to large increases, depending on driving logic and penetration rate. |
| format | Article |
| id | doaj-art-838d8ce6eba64efeaeef64dab97c1041 |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-838d8ce6eba64efeaeef64dab97c10412025-02-03T01:28:10ZengWileyJournal of Advanced Transportation0197-67292042-31952020-01-01202010.1155/2020/88505918850591An Approach for Handling Uncertainties Related to Behaviour and Vehicle Mixes in Traffic Simulation Experiments with Automated VehiclesJohan Olstam0Fredrik Johansson1Adriano Alessandrini2Peter Sukennik3Jochen Lohmiller4Markus Friedrich5Swedish National Road and Transport Research Institute (VTI), Linköping SE-581 95, SwedenSwedish National Road and Transport Research Institute (VTI), Linköping SE-581 95, SwedenUniversity of Florence, Dipartimento di Ingegneria Civile e Ambientale (DICEA), Firenze 50139, ItalyPTV Group, Karlsruhe 76131, GermanyPTV Group, Karlsruhe 76131, GermanyUniversity of Stuttgart, Institute for Road and Transport Science, Department for Transport Planning and Traffic Engineering, Stuttgart Pfaffenwaldring 7, 70569, GermanyThe introduction of automated vehicles is expected to affect traffic performance. Microscopic traffic simulation offers good possibilities to investigate the potential effects of the introduction of automated vehicles. However, current microscopic traffic simulation models are designed for modelling human-driven vehicles. Thus, modelling the behaviour of automated vehicles requires further development. There are several possible ways to extend the models, but independent of approach a large problem is that the information available on how automated vehicles will behave is limited to today’s partly automated vehicles. How future generations of automated vehicles will behave will be unknown for some time. There are also large uncertainties related to what automation functions are technically feasible, allowed, and actually activated by the users, for different road environments and at different stages of the transition from 0 to 100% of automated vehicles. This article presents an approach for handling several of these uncertainties by introducing conceptual descriptions of four different types of driving behaviour of automated vehicles (Rail-safe, Cautious, Normal, and All-knowing) and presents how these driving logics can be implemented in a commonly used traffic simulation program. The driving logics are also linked to assumptions on which logic that could operate in which environment at which part of the transition period. Simulation results for four different types of road facilities are also presented to illustrate potential effects on traffic performance of the driving logics. The simulation results show large variations in throughput, from large decreases to large increases, depending on driving logic and penetration rate.http://dx.doi.org/10.1155/2020/8850591 |
| spellingShingle | Johan Olstam Fredrik Johansson Adriano Alessandrini Peter Sukennik Jochen Lohmiller Markus Friedrich An Approach for Handling Uncertainties Related to Behaviour and Vehicle Mixes in Traffic Simulation Experiments with Automated Vehicles Journal of Advanced Transportation |
| title | An Approach for Handling Uncertainties Related to Behaviour and Vehicle Mixes in Traffic Simulation Experiments with Automated Vehicles |
| title_full | An Approach for Handling Uncertainties Related to Behaviour and Vehicle Mixes in Traffic Simulation Experiments with Automated Vehicles |
| title_fullStr | An Approach for Handling Uncertainties Related to Behaviour and Vehicle Mixes in Traffic Simulation Experiments with Automated Vehicles |
| title_full_unstemmed | An Approach for Handling Uncertainties Related to Behaviour and Vehicle Mixes in Traffic Simulation Experiments with Automated Vehicles |
| title_short | An Approach for Handling Uncertainties Related to Behaviour and Vehicle Mixes in Traffic Simulation Experiments with Automated Vehicles |
| title_sort | approach for handling uncertainties related to behaviour and vehicle mixes in traffic simulation experiments with automated vehicles |
| url | http://dx.doi.org/10.1155/2020/8850591 |
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