D2.5 Description Metrics for Traffic Interactions

D2.5 Description Metrics for Traffic Interactions

Adjenughwure, K.
Huertas Leyva, P.
Prinz, F.
Tejada, A.
Wang, X.

2021

The SAFE-UP project aims to proactively address the novel safety challenges of the future mobility systems through the development of tools and innovative safety methods that lead to improvements in road transport safety. Future mobility systems will rely on partially and fully automated vehicles to reduce traffic collisions and casualties by removing causal factors like driver distraction, fatigue or infractions and by reacting autonomously to emergency situations. On the other hand, they may introduce new collision risk factors or risky behaviours when interacting with other traffic participants. SAFE-UP’s Work Package 2 will further the understanding of the impact of vehicle automation technologies on safety by leveraging newly developed behavioural traffic simulation tools. These tools will allow one to simulate specific road networks with a variable proportion of automated vehicles to non-automated traffic participants (including human-drivers, pedestrians, cyclists, and powered two-wheelers). The simulation models will be detailed enough to realistically recreate the effects of unexpected events (like surprise cut-ins). In this way, one will be able to determine whether these technologies induce changes (positive or negative) in surrogate indicators of traffic safety. An important surrogate indicator of safety is the occurrence of safety-critical interactions in different driving scenarios. The analysis of interaction criticality is the main focus of the partners in Task 2.2, who authored this report. This report1 summarizes the state of the art on reasoning about criticality (or severity) of driving interactions and: • Recommends the best suited metrics to recognize safety-critical and non-safety critical driving interactions in simulation (Section 2); • Identifies areas where the literature may be lacking and describes the initial research and development plans for each of the partners of Task 2.2 (Section 3). An important conclusion of this survey is that the criticality of a driving interaction depends on the type of traffic participants involved. For instance, a critical interaction between a car and a motorcycle may not be critical between two cars. Also, an interaction between a car and a pedestrian may not be critical from the vehicle’s perspective, but perceived as critical from the pedestrian’s perspective. Consequently, the information is presented from three different perspectives: motor vehicles, vulnerable road users, and powered two-wheelers. Finally, a selection of the main criticality metrics to be used to analyse simulation results is presented in the Conclusion & Recommendation section (Section 4).

Mobility

http://resolver.tudelft.nl/uuid:76b11ee7-976e-4b44-a1ae-35955cf42543

980067

report