| 1. |
- Andersson, Anders, 1983-, et al.
(author)
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Co-simulation architecture with pedestrian, vehicle, and traffic simulators
- 2021
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In: Actes (IFSTTAR). - : Driving Simulation Association. ; , s. 181-184
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Conference paper (peer-reviewed)abstract
- Automated and connected traffic systems with cooperative functionality need effective testing. One way to enable such testing is to represent the current traffic environment by co-simulating different simulators using a communication layer between the simulators for cooperative functionality. With this approach, this paper presents a platform with its included simulators (vehicle, pedestrian, and traffic simulators), the used run-time infrastructure (RTI) for co-simulation, and the connection to the Unreal Engine based visual system for the simulators. The architecture was tested with two vehicle simulators (one autonomous bus and a truck), one pedestrian simulator, and one traffic simulator connected using a cloud-based service for the RTI.
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| 2. |
- Fu, Jiali, 1973-, et al.
(author)
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VTI:s simulator för utryckningskörning : Teknisk rapport
- 2020
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Reports (other academic/artistic)abstract
- Simulatorer för utryckningskörning har ingått i flera VTI-projekt. Erfarenheterna och den tekniska utvecklingen har resulterat i en simulator för utryckningskörning. Syftet med denna rapport är att beskriva simulatorns användningsområden och funktionalitet samt ge en teknisk beskrivning.
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| 3. |
- Jansson, Andreas, 1989-, et al.
(author)
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Linking gaze tracking with a simulated world
- 2017
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Reports (other academic/artistic)abstract
- The main focus of this study was to develop a software able to link eye tracking data to simulator data, making it possible to automatically detect what the driver is looking at in the simulated world. This was achieved by merging data from a SmartEye system with data from the simulator. Thereby realtime visualisation of where the driver is looking is facilitated, and what the driver is targeting can be shown to the test leader to trigger events in the scenarios, etc. This also facilitates automatic gaze annotations that can be used in subsequent analyses when studying visual behaviour.The developed software, VIMSI, is responsible for collecting eye tracking data from SmartEye, filter and aggregate this data with data from the simulation and then send processed data to the graphics to visualize the result. The software was tested in one of VTI’s driving simulators. This initial testing of VIMSI showed that the software is capable of visualising what the driver is looking at in real time. The software also makes it possible to log data from the test drives which can be useful when studying driver behaviour. To improve the functionality of VIMSI, it is necessary to consider using UDP instead of IPC when directing data from the VIMSI software to the graphics engine VISIR. This will enable the use of another software, ScenarioReplay, developed at VTI for replaying test drives. A proper configuration and calibration of the SmartEye cameras is necessary to achieve high quality of the data from the SmartEye Pro software, which is a precondition for VIMSI.
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| 4. |
- Peters, Björn, 1949-, et al.
(author)
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Evaluation of driving simulator based training for older drivers in Sweden : Deliverable 2.4.3
- 2016
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Reports (other academic/artistic)abstract
- Being able to assess your own performance can be vital to maintain safe mobility for older drivers. Overestimation can lead to increased risk of being involved in a crash and underestimation to unjustifiable restrictions in mobility. A pre/post intervention study was conducted with the aim to improve older drivers’ ability to assess their own driving performance. The aim was not to improve performance per se but the ability to assess, i.e. to calibrate themselves. Thus, a driving simulator program was developed and evaluated with a group of 36 older drivers. However, due to simulator sickness only 21 driver completed the study. Drivers repeatedly assessed their driving performance by answering the question “How well do you think you performed on the driving task? (1 = very bad to 5 = very well)”. As a reference of correctly assessed driving performance we used an experienced occupational therapist (specialised in driver assessment) who assessed the drive with the same scale (expert assessment).Feedback can be an effective tool for change, which we wanted to evaluate. Thus, feedback to the drivers were given as a specification of errors made (e.g. forgot to use direction indicators, driving too fast, etc.). Feedback could also include information on correct behaviour (e.g. give way to pedestrians, keeping the right speed etc.). Thus, the drivers were divided into two groups: one (n=11) who were told of their misses and one (n=10) who were also informed about their correct behaviour. Training was done at three different occasions.
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