Literature Database Entry

joerer2016improving


Stefan Joerer, "Improving Intersection Safety with Inter-Vehicle Communication," PhD Thesis (Dissertation), Institute of Computer Science, University of Innsbruck, July 2016. (Advisor: Falko Dressler; Referee: Francesca Cuomo)

Abstract

In the last century road traffic has become an integral part of our society although the likelihood of having an accident is not negligible. Passive safety measures (e.g., seatbelt) have helped to decrease the number of fatalities, but the accident rate cannot be reduced by them. Therefore, active safety measures, i.e., Advanced Driver Assistance Systems (ADAS), aim to assist drivers to prevent accidents. Such systems use different sensor technologies to assess the situation, but they are limited to visual range. With the help of Inter-Vehicle Communication (IVC), sensor data can be distributed also to vehicles that are not recognizable otherwise. For example, Intersection Assistance Systems (IAS) need information already before vehicles get in visual range. This thesis aims to investigate how IVC can help to improve situation awareness for IAS. The development of a suitable communication strategy for IAS does not only need a comprehensive understanding of the wireless channel, but also of the safety aspects. To gain insights into safety aspects of vehicles approaching an intersection, this thesis proposes two safety metrics—the risk classification and the intersection collision probability—to estimate the criticality of the situation with the information provided by IVC. These safety metrics are not only used to evaluate current communication strategies, but also to design a novel strategy in the context of IAS. The developed situation-aware communication strategy adapts the information dissemination rate based on the intersection collision probability in addition to current congestion control mechanisms. With the help of application specific metrics, we are able to show substantially increased situation awareness for vehicles in dangerous situations compared to current communication protocols. Finally, we address one fundamental challenge of IVC: For IAS it is crucial to distinguish whether communication just failed or no other vehicle is approaching the intersection. The presented cooperative communication strategy allows to deduce whether communication is able to provide the full picture or not, but also improves situation awareness considerably in case approaching vehicles are not able to communicate directly.

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Stefan Joerer

BibTeX reference

@phdthesis{joerer2016improving,
    author = {Joerer, Stefan},
    referee = {Cuomo, Francesca},
    advisor = {Dressler, Falko},
    title = {{Improving Intersection Safety with Inter-Vehicle Communication}},
    institution = {Institute of Computer Science},
    year = {2016},
    month = {July},
    location = {Innsbruck, Austria},
    school = {University of Innsbruck},
    type = {PhD Thesis (Dissertation)},
   }
   
   

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