09:00 - 10:30
Parallel sessions 7
09:00 - 10:30
Room: HSZ - 7E02
Chair/s:
Arnd Engeln
Although the amount of traffic deaths in Germany decreases since the early 70s, still nowadays, more than 7 persons lose their lives, and more than 1000 persons get injured in road traffic in average each day. The main reasons are seen in human behavior errors as there are distraction, disregard of priority and inappropriate distances or speeding. That for, the symposium focuses research on human behavior related to traffic safety. The talks focus on research on pedestrians’ prediction of other road users’ behavior, the perspective of different road user groups on cyclists’ behavior as well as the impact of technical innovations on individual behavior – as there are camera-monitor systems in cars and sound reduced cars on the street.

With a literature review on existing UX models to inform the measurement of acceptance of automated driving, we then transition to the topic of “Automated driving - acceptance and interaction in traffic”:
In the talk session immediately following we will present current research on automated driving. The integration of automated cars into mixed traffic with manual motor vehicle drivers, pedestrians and cyclists generates open questions on how to communicate and interact with them. Solutions should ensure traffic safety as well as acceptance by the traffic participants involved. If acceptance is low, the improvement of traffic safety may fail.
The first two talks address research on the impact of external communication on the behavior of manual drivers as well as on other road users. In the following talk the user of the automated car and how to avoid usage errors is focused on.
Submission 164
Vehicle Sound Overrules Kinematics: Arrival Time Estimation of Accelerating Vehicles.
SymposiumTalk-03
Presented by: Thirsa Huisman
Thirsa HuismanDaniel Oberfeld-Twistel
Johannes Gutenberg University Mainz, Germany
Previous work has shown that the availability of vehicle sound improves estimates of the arrival time of accelerating vehicles compared to visual-only estimates, which tend to follow a first-order pattern (i.e., they appear to ignore the acceleration, resulting in dangerous overestimations of the vehicle’s arrival time). Here, we studied two potential explanations of the observed effects: a) the vehicle sound directs participants attention towards the accelerated motion, allowing them to make second-order estimates, or b) people continue to use only first-order motion information but shorten their estimates when the vehicle sound indicates acceleration. We presented congruent and incongruent combinations of kinematics (constant velocity or accelerated motion) and sound (sound of an internal combustion engine vehicle (ICEV) driving either with constant velocity or accelerating). Thus, on some trials a constant-velocity motion was accompanied by the sound of a vehicle driving at constant velocity, whereas on others it was combined with the sound of an accelerating vehicle, etc. If the sound of an accelerating ICEV allows participants to make use of the second-order motion information, then it should not affect the arrival time estimates when the vehicle is driving with a constant velocity. In contrast, if they adjust their estimates whenever the vehicle sound indicates acceleration, then they should apply this safety strategy also when the vehicle is driving with a constant velocity. Our results supported the latter explanation. Participants produced shorter arrival time estimates when the sound of the accelerating vehicle was presented, largely independent of the vehicle's kinematics.