Combining Radio Transmission with Filters for Pedestrian Safety: Experiments and Simulations

Abstract

Improving the safety of vulnerable road users is an international demand because still thousands of pedestrians and cyclists are injured or killed in accidents with cars, trucks and busses. Car manufacturers and several research groups work on different solutions to avoid accidents with the help of sensor based systems. Moreover, research is done in radio communication based collision avoidance systems which uses exchanged information to distinguish between dangerous and non dangerous situations. In this paper we present various filters differing by the input information used to find dangerous situations implemented in a radio based collision avoidance system simulator. The results of the filters applied to a scenario are also presented. Furthermore, we analyse the influence of different conditional parameters to transmission delay times by taking further measurements for cellular networks to determine if cellular networks can be used as a communication technology in a collision avoidance system.