Citation

Kotte J, Schmeichel C, Zlocki A, Gathmann H, Eckstein L. Traffic Injury Prev. 2017; 18(Suppl 1): S37-S43.

Affiliation

Institut für Kraftfahrzeuge (ika), RWTH Aachen University , Germany.

Copyright

(Copyright © 2017, Informa - Taylor and Francis Group)

DOI

10.1080/15389588.2017.1310380

PMID

28368684

Abstract

OBJECTIVE State-of-the-art collision avoidance and collision mitigation systems predict the behavior of pedestrians based on trivial models that assume a constant acceleration or velocity. New sources of sensor information, for example smart devices (smartphones, tablets, smartwatches, …), can support enhanced pedestrian behavior models. The objective of this paper is the development and implementation of a V2X pedestrian collision avoidance system that uses new information sources.

METHODS A literature review of existing state-of-the-art pedestrian collision avoidance systems, pedestrian behavior models in Advanced Driver Assistance Systems (ADAS), and traffic simulations is conducted together with an analysis of existing studies on typical pedestrian patterns in traffic. Based on this analysis, possible parameters for predicting pedestrian behavior were investigated. The results led to new requirements from which a concept was developed and implemented.

RESULTS The analysis of typical pedestrian behavior patterns in traffic situations showed the complexity of predicting pedestrian behavior. Requirements for an improved behavior prediction were derived. A concept for a V2X collision avoidance system, based on a cost function that predicts pedestrian near future presence, and its implementation, is presented. The concept presented considers several challenges such as information privacy, inaccuracies of the localization, and inaccuracies of the prediction.

CONCLUSION A concept for an enhanced V2X pedestrian collision avoidance system was developed and introduced. The concept uses new information sources such as smart devices to improve the prediction of the pedestrian's presence in the near future and considers challenges that come along with the usage of these information sources.

Language: en

Keywords

Active Safety; Crash Avoidance; Driver Assistance Systems; Pedestrian Protection; Vehicle-to-Vehicle Communication