Smart City Gnosys
Smart city article details
| Title | Take It To The Curb: Scalable Communication Between Autonomous Cars And Vulnerable Road Users Through Curbstone Displays |
|---|---|
| ID_Doc | 54385 |
| Authors | Holländer K.; Hoggenmüller M.; Gruber R.; Völkel S.T.; Butz A. |
| Year | 2022 |
| Published | Frontiers in Computer Science, 4 |
| DOI | http://dx.doi.org/10.3389/fcomp.2022.844245 |
| Abstract | Automated driving will require new approaches to the communication between vehicles and vulnerable road users (VRUs) such as pedestrians, e.g., through external human–machine interfaces (eHMIs). However, the majority of eHMI concepts are neither scalable (i.e., take into account complex traffic scenarios with multiple vehicles and VRUs), nor do they optimize traffic flow. Speculating on the upgrade of traffic infrastructure in the automated city, we propose Smart Curbs, a scalable communication concept integrated into the curbstone. Using a combination of immersive and non-immersive prototypes, we evaluated the suitability of our concept for complex urban environments in a user study (N = 18). Comparing the approach to a projection-based eHMI, our findings reveal that Smart Curbs are safer to use, as our participants spent less time on the road when crossing. Based on our findings, we discuss the potential of Smart Curbs to mitigate the scalability problem in AV-pedestrian communication and simultaneously enhance traffic flow. Copyright © 2022 Holländer, Hoggenmüller, Gruber, Völkel and Butz. |
| Author Keywords | automated vehicles; AV-VRU communication; city infrastructure; eHMIs; human computer interaction (HCI); smart cities; VRUs |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
24318  | 0.885 | Erratum: Take It To The Curb: Scalable Communication Between Autonomous Cars And Vulnerable Road Users Through Curbstone Displays (Front. Comput. Sci., (2022), 4, (844245), 10.3389/Fcomp.2022.844245) | Frontiers in Computer Science, 4 (2022) | |
| 34724 | 0.873 | Kalda K.; Pizzagalli S.-L.; Soe R.-M.; Sell R.; Bellone M. | Language Of Driving For Autonomous Vehicles | Applied Sciences (Switzerland), 12, 11 (2022) |
| 3866 | 0.866 | El Hamdani S.; Benamar N.; Younis M. | A Protocol For Pedestrian Crossing And Increased Vehicular Flow In Smart Cities | Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, 24, 5 (2020) |
| 13114 | 0.861 | Yassien A.; Hammouda S.; Sharaf N.; Abdennadher S. | Building Trust In Av-To-Pedestrian Interaction: Exploring The Influence Of Communication Modality Through A Virtual Reality Study | 2023 2nd International Conference on Smart Cities 4.0, Smart Cities 4.0 2023 (2023) |
| 1759 | 0.86 | Rouchitsas A. | A Framework For Disentangling Efficiency From Effectiveness In External Hmi Evaluation Procedures For Automated Vehicles | International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS - Proceedings (2025) |
| 24632 | 0.856 | Yang X.; Ahmad S.; Nelson M.; Rogers J.; Ren Y.; Huang Y.; Lu P. | Evaluating The Driving Behavior Of Autonomous Vehicles And Human Driver Vehicles In Mixed Driver Environments At A Signalized Intersection | Proceedings of SPIE - The International Society for Optical Engineering, 12046 (2022) |
| 16142 | 0.85 | Wang J.; Topilin I.; Feofilova A.; Shao M.; Wang Y. | Cooperative Intelligent Transport Systems: The Impact Of C-V2X Communication Technologies On Road Safety And Traffic Efficiency | Sensors, 25, 7 (2025) |