An Approach for Handling Uncertainties Related to Behaviour and Vehicle Mixes in Traffic Simulation Experiments with Automated Vehicles
Joint Authors
Olstam, Johan
Alessandrini, Adriano
Sukennik, Peter
Lohmiller, Jochen
Friedrich, Markus
Johansson, Fredrik
Source
Journal of Advanced Transportation
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-18
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Olstam, Johan& Johansson, Fredrik& Alessandrini, Adriano& Sukennik, Peter& Lohmiller, Jochen& Friedrich, Markus. 2020. An Approach for Handling Uncertainties Related to Behaviour and Vehicle Mixes in Traffic Simulation Experiments with Automated Vehicles. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1176651
Modern Language Association (MLA)
Olstam, Johan…[et al.]. An Approach for Handling Uncertainties Related to Behaviour and Vehicle Mixes in Traffic Simulation Experiments with Automated Vehicles. Journal of Advanced Transportation No. 2020 (2020), pp.1-17.
https://search.emarefa.net/detail/BIM-1176651
American Medical Association (AMA)
Olstam, Johan& Johansson, Fredrik& Alessandrini, Adriano& Sukennik, Peter& Lohmiller, Jochen& Friedrich, Markus. An Approach for Handling Uncertainties Related to Behaviour and Vehicle Mixes in Traffic Simulation Experiments with Automated Vehicles. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1176651
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1176651