After you?! – Use of external human-machine interfaces in road bottleneck scenarios

Rettenmaier, Michael; Albers, Deike; Bengler, Klaus

doi:10.1016/j.trf.2020.03.004

Cited by 51 publications

(38 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In recent years, a growing body of research has focussed on the use of external Human-Machine Interfaces (eHMI) for communicating the intentions or behaviour of AVs (e.g. Habibovic et al, 2018;Clamann, Aubert & Cummings, 2015;Deb, Strawderman & Carruth, 2018, Hensch et al, 2019Rettenmaier, Albers & Bengler, 2020). However, findings within this research area are mixed.…”

Section: Introductionmentioning

confidence: 99%

Road user interactions in a shared space setting: Priority and communication in a UK car park

Uttley

Lee

Madigan

et al. 2020

Transportation Research Part F: Traffic Psychology and Behaviou

View full text Add to dashboard Cite

Appropriate communication between road users can lead to safe and efficient interactions in mixed traffic. Understanding how road users communicate can support the development of effective communication methods for automated vehicles. We carried out observations of 66 pedestrian-driver and 124 driver-driver interactions in a shared space setting. Specific actions and reactions of the road users involved were recorded using a novel observation protocol. Overall, results showed that pedestrians' failure to look towards a driver created the greatest uncertainty in the interaction, with the driver slowing down, but not completely stopping, in response to pedestrians. Looking towards the driver also influenced which road user took priority in driver-driver interactions. Groups of pedestrians were more likely to be given priority than an individual pedestrian, and the use of vehicle-based signals were also associated with taking priority during an interaction. Our observations show the importance of non-verbal communication during road user interactions, highlighting it as an essential area of research in the development of automated vehicles, to allow their safe, cooperative, interactions with other road users. Observations were made on a limited number of interactions to inform challenges facing future automated vehicles. Further work should therefore be done to corroborate and extend our findings, to examine interactions between human road users and automated vehicles in shared space settings.

show abstract

Section: Introductionmentioning

confidence: 99%

Road user interactions in a shared space setting: Priority and communication in a UK car park

Uttley

Lee

Madigan

et al. 2020

Transportation Research Part F: Traffic Psychology and Behaviou

View full text Add to dashboard Cite

show abstract

“…In addition, external humancomputer interaction (EHMI) enables traffic participants to understand the vehicle's intention more intuitively, so as to avoid psychological panic, as shown in Figure 7. In order to further study the status information requirements of pedestrians for IVs, Faas et al [76] [77] proposed that in the future mixed traffic environment, when the IVs using EHMI communicates with other traffic participants, the time taken will be significantly shortened and the collision accidents will be less.…”

Section: Security and Trustmentioning

confidence: 99%

“…Rettenmaier et al. [77] proposed that in the future mixed traffic environment, when the IVs using EHMI communicates with other traffic participants, the time taken will be significantly shortened and the collision accidents will be less.…”

Section: Comfort Of Ivsmentioning

confidence: 99%

A review on key challenges in intelligent vehicles: Safety and driver‐oriented features

Zhou

Zhang

et al. 2021

IET Intelligent Trans Sys

View full text Add to dashboard Cite

The huge advantages of intelligent vehicles (IVs) in improving road safety and operating efficiency have become a research focus in the industry. IVs have made significant progress in recent years, but it is still face great challenges in order to be accepted by users on a large scale. In this regard, the authors propose that the research of IVs can be developed along the lines of safety, comfort and economy, gradually overcoming existing dilemmas. First of all, security is the most basic requirement of IVs. The authors sort out the key technologies and challenges of the basic architecture of IVs, and propose existing attack and defences strategies for IVs information security technology. Secondly, comfort is more about people's subjective feelings. From two aspects of physiological comfort and psychological comfort, the paper studies the anthropomorphic decision-making to overcome the mechanized speed control, human computer interaction design, personalized driving style and ethical decision-making methods. Then, aiming at the micro-and macro-levels of economy, it outlines technologies such as economic driving behavioural, collaborative control of people, vehicles and roads and IVs sharing. Finally, the authors summarized the challenges and future development directions in the three stages of IVs development.

show abstract

“…Current research suggests that mainly two communication tools will enable AVs to communicate implicitly and explicitly and, thereby, can inform pedestrians about the vehicle's intention [5]. Firstly, dynamic human-machine interfaces (dHMIs) transmit implicit information via vehicle dynamics, e.g., braking behavior [5,6]. Secondly, external human-machine interfaces (eHMIs) positioned on the AV's outside transmit explicit information [1,7,8].…”

Section: Introductionmentioning

confidence: 99%

Investigating the Interplay between eHMI and dHMI for Automated Buses: How Do Contradictory Signals Influence a Pedestrian's Willingness to Cross?

Lau

Jipp

Oehl

2021

13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

View full text Add to dashboard Cite

In future urban traffic, communication abilities of automated vehicles (AVs) are needed to enable a safe interaction with pedestrians as so-called vulnerable road users. Dynamic human-machine interfaces (dHMIs) and external human-machine interfaces (eHMIs) are designed to enable AVs to communicate implicitly, e.g., via vehicle dynamics, and explicitly, e.g., by light signals. To this point, it is neither sufficiently studied how the exact interplay of both communication tools should take place nor how this should be considered for an automated bus. This study aims to shed light on pedestrians' interaction with an automated bus by combining vehicle behavior (dHMI) and different eHMIs. The main focus was on the effect of contradictory communication messages on pedestrians' willingness to cross. Results showed that for non-yielding conditions, a dynamic eHMI that displayed an erroneous yielding intent lead to a significantly higher pedestrians' willingness to cross compared to static eHMI or no eHMI.

show abstract

After you?! – Use of external human-machine interfaces in road bottleneck scenarios

Cited by 51 publications

References 25 publications

Road user interactions in a shared space setting: Priority and communication in a UK car park

Road user interactions in a shared space setting: Priority and communication in a UK car park

A review on key challenges in intelligent vehicles: Safety and driver‐oriented features

Investigating the Interplay between eHMI and dHMI for Automated Buses: How Do Contradictory Signals Influence a Pedestrian's Willingness to Cross?

Contact Info

Product

Resources

About