Optimizing timing for emergency vehicle approaching warnings

Authors

  • Kajsa Weibull The Swedish National Road and Transport Research Institute, SE-581 95 Linköping, Sweden; Linköping University, Department of Computer and Information Science, SE-581 83 Linköping, Sweden
  • Björn Lidestam The Swedish National Road and Transport Research Institute, SE-581 95 Linköping, Sweden
  • Erik Prytz Linköping University, Department of Computer and Information Science, SE-581 83 Linköping, Sweden

DOI:

https://doi.org/10.14311/APP.2024.51.0125

Keywords:

emergency vehicle, intelligent transport systems, Emergency Vehicle Approaching, warning

Abstract

Emergency driving is a demanding task. The ITS service Emergency Vehicle Approaching provides drivers with an in-car warning that an emergency vehicle is approaching. To ensure that the warning is efficient and reliable it must have a suitable timing. The EVA warning must be presented early enough to allow the driver to make a safe move-over maneuver. However, the distribution of EVA warnings is based on the most probable path of the emergency vehicle. If an EVA warning is distributed too early, it increases the risk of false alarms. In addition, if a warning is given too early the driver might deem it as irrelevant.
Previous studies have distributed EVA warnings based on the distance between the emergency vehicle and surrounding cars. However, if the speed of the vehicle is not accounted for there is a risk of insufficient time for the driver to prepare for the emergency vehicle interaction. To explore suitable EVA timing, post-survey data from five driving simulator studies where drivers were exposed to EVA warnings were analyzed. The results suggest that 15–20 seconds could be an appropriate EVA timing. However, the required time for a move-over maneuver depends on the complexity of the current traffic situation.

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Published

2024-12-17

How to Cite

Optimizing timing for emergency vehicle approaching warnings. (2024). Acta Polytechnica CTU Proceedings, 51, 125-128. https://doi.org/10.14311/APP.2024.51.0125