Abstract
Road accidents involving bicycles and e-bikes are becoming more frequent in urban areas. To improve the accident prevention, it is needed to use the potential of proactive road safety instruments in addition to the existing reactive road safety instruments.
In this work, first approaches for a systematization of the existing methods for video-based conflict analysis are to be developed. The goal of the systematization is to generate a meaningful and differentiated analysis of the conflict events at a critical node. Moreover, the particularities of road accidents involving cyclists and e-bike riders should be considered.
Based on a self-conducted video-based conflict analysis, the systematization was further developed. The recording took place at a critical node in Zurich and the resulting video data was evaluated. The first attributes were calculated from the extracted trajectories. Based on further calculations and filtering, the potentially relevant conflicts were identified and weighted using a self-created risk formula.
Finally, the results can be analysed according to traffic participation, type of conflict and risk. They provide an overview of the conflict events but must be interpreted with caution.
Even if the methodology for a systematization can be considered as more developed, the basic data still show deficits. The trajectories evaluated by the video are still imprecise and often cannot distinguish between the different road users. Based on this, the generation of the trajectories must be further developed, and the results of a conflict analysis still must be interpreted with caution. Moreover, the methodology and its validation can be further evaluated and verified at other urban nodes.
In this work, first approaches for a systematization of the existing methods for video-based conflict analysis are to be developed. The goal of the systematization is to generate a meaningful and differentiated analysis of the conflict events at a critical node. Moreover, the particularities of road accidents involving cyclists and e-bike riders should be considered.
Based on a self-conducted video-based conflict analysis, the systematization was further developed. The recording took place at a critical node in Zurich and the resulting video data was evaluated. The first attributes were calculated from the extracted trajectories. Based on further calculations and filtering, the potentially relevant conflicts were identified and weighted using a self-created risk formula.
Finally, the results can be analysed according to traffic participation, type of conflict and risk. They provide an overview of the conflict events but must be interpreted with caution.
Even if the methodology for a systematization can be considered as more developed, the basic data still show deficits. The trajectories evaluated by the video are still imprecise and often cannot distinguish between the different road users. Based on this, the generation of the trajectories must be further developed, and the results of a conflict analysis still must be interpreted with caution. Moreover, the methodology and its validation can be further evaluated and verified at other urban nodes.
Translated title of the contribution | Potential and systematisation of video-based conflict analysis involving bicyclists and e-bikes |
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Original language | German |
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Publication status | Published - 3 Jul 2023 |
Research Field
- Road Infrastructure Assessment, Modelling and Safety Evaluation
Keywords
- conflict analysis
- road safety
- bicycle
- road safety instruments