Modelling green waves for emergency vehicles using connected traffic data

Laura Bieker-Walz; Michael Behrisch

doi:10.29007/sj1m

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Modelling green waves for emergency vehicles using connected traffic data

11 pages•Published: August 13, 2019

Laura Bieker-Walz and Michael Behrisch

Abstract

For emergency vehicle drivers it is an important task to reach the incident location as fast as possible. Therefore a self-organizing green wave could help emergency vehicles to accomplish this goal. This study presents an approach how emergency vehicle can be prioritized at traffic lights and simulates the possible benefit for the emergency vehicle. Traffic data from vehicular communication can be used to find the optimal timing for the traffic light to modify the existing traffic phases and reduce the possible negative impact on other traffic participants.

Keyphrases: self-organizing traffic, Traffic Management, traffic simulation, Vehicular Communication

In: Melanie Weber, Laura Bieker-Walz, Robert Hilbrich and Michael Behrisch (editors). SUMO User Conference 2019, vol 62, pages 10--20

Links:	https://easychair.org/publications/paper/6KGt
	https://doi.org/10.29007/sj1m

BibTeX entry

@inproceedings{SUMO2019:Modelling_green_waves_for,
  author    = {Laura Bieker-Walz and Michael Behrisch},
  title     = {Modelling green waves for emergency vehicles using connected traffic data},
  booktitle = {SUMO User Conference 2019},
  editor    = {Melanie Weber and Laura Bieker-Walz and Robert Hilbrich and Michael Behrisch},
  series    = {EPiC Series in Computing},
  volume    = {62},
  pages     = {10--20},
  year      = {2019},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-7340},
  url       = {https://easychair.org/publications/paper/6KGt},
  doi       = {10.29007/sj1m}}

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