DOI QR코드

DOI QR Code

Development of a Field Evaluation Methodology for eHMI Technology in Autonomous Vehicle-Pedestrian Communication

자율주행차-보행자간 의사소통을 위한 eHMI 기술의 현장 평가 방법론 개발

  • Hyunmi Lee ;
  • Jeong-Ah Jang ;
  • Soomin Kwon ;
  • Yeonhwa Ha
  • 이현미 (TOD 지속가능교통연구센터) ;
  • 장정아 (TOD 지속가능교통연구센터) ;
  • 권수민 (한국교통안전공단 자동차안전연구원, 부품연구처) ;
  • 하연화 (한국교통안전공단 자동차안전연구원, 부품연구처)
  • Received : 2024.06.14
  • Accepted : 2024.09.10
  • Published : 2024.09.30

Abstract

With the advent of Level 4 autonomous vehicles, the need for effective communication between these vehicles and pedestrians has become increasingly important. To address this, eHMI (Enhanced Human-Machine Interface) technology has been proposed to replace traditional driver-pedestrian interactions. eHMI plays a crucial role in conveying the vehicle's status and intentions to pedestrians, thereby improving interaction. Globally, automobile manufacturers and technology companies are investing in visual eHMI technologies, advancing in tandem with the automotive industry. This study developed a methodology for field evaluation of communication technologies between pedestrians and Level 4 autonomous vehicles in urban settings. A three-stage message and display system, tailored to the pedestrian crossing process (recognition, judgment, response), was established. In experiments without message displays, 42.2% (38 out of 90) of participants abandoned crossing. Most who crossed did so only after the vehicle stopped, with some groups crossing irrespective of vehicle approach. When the 'yield' message was introduced, crossing patterns and speed distributions changed significantly. All 38 participants who initially abandoned crossing decided to cross, and the elderly who previously ran or walked quickly crossed at a normal pace, reducing overall crossing time. Field experiments are crucial as real-world conditions may elicit different behaviors than controlled settings. Continued research in field evaluations is essential to develop and assess effective eHMI messages. By observing and analyzing actual pedestrian movements, we can reliably evaluate the effectiveness of these communication technologies, thereby enhancing interaction between autonomous vehicles and pedestrians.

Keywords

Acknowledgement

본 연구는 국토교통부 및 국토교통과학기술진흥원의 연구비지원으로 수행하였습니다(과제번호 RS2021_KA162419).

References

  1. Vinkhuyzen, E. and Cefkin, M., 2016, "Developing socially acceptable autonomous vehicles," In Ethnographic Praxis in Industry Conference Proceedings, Vol. 2016, No. 1, pp. 522~534.
  2. Fridman, L., Mehler, B., Xia, L., Yang, Y., Facusse, L. Y., and Reimer, B., 2017, "To walk or not to walk: Crowdsourced assessment of external vehicle-to-pedestrian displays," https://doi.org/10.48550/arXiv.1707.02698
  3. Velasco, J. P. N., Lee, Y. M., Uttley, J., Solernou, A., Farah, H., van Arem, B., Hagenzieker, M., and Merat, N., 2021, "Will pedestrians cross the road before an automated vehicle? The effect of drivers' attentiveness and presence on pedestrians' road crossing behavior," Transportation research interdisciplinary perspectives, Vol. 12, 100466. https://doi.org/10.1016/j.trip.2021.100466
  4. SAE International., 2019, "Automated Driving System (ADS) Marker Lamp," https://doi.org/10.4271/j3134_201905
  5. Lee, G. G. and Woo, H., 2021, "A Study on Safety Guideline of Level 4 Automated Driving Vehicles," Journal of Auto-vehicle Safety Association, Vol. 13, No. 3, pp. 86~94.
  6. Song, J., Ki, J., Jeong, Y., and Hwang. D., 2024, "Proposing a Design Concept for an External Human-Machine Interface of Autonomous Vehicle Based on Communication Intention and Driving Scenarios," Journal of Digital Contents Society, Vol. 25, No. 2, pp. 311~320.
  7. Guo, F., Lyu, W., Ren, Z., Li, M., and Liu, Z., 2022, "A video-based, eye-tracking study to investigate the effect of eHMI modalities and locations on pedestrian-automated vehicle interaction," Sustainability, Vol. 14, No. 9, 5633.
  8. De Clercq, K., Dietrich, A., Nunez Velasco, J. P., De Winter, J., and Happee, R., 2019, "External human-machine interfaces on automated vehicles: Effects on pedestrian crossing decisions," Human factors, Vol. 61, No. 8, pp. 1353~1370.
  9. Dey, D., Habibovic, A., Pfleging, B., Martens, M., and Terken, J., 2020, "Color and animation preferences for a light band eHMI in interactions between automated vehicles and pedestrians," In Proceedings of the 2020 CHI conference on human factors in computing systems, Honolulu, HI, USA, 25-30, pp. 1~13.
  10. Horn, S., Madigan, R., Lee, Y. M., Tango, F., and Merat, N., 2023, "Pedestrians' perceptions of automated vehicle movements and light-based eHMIs in real world conditions: A test track study," Transportation research part F: traffic psychology and behaviour, Vol. 95, pp. 83~97. https://doi.org/10.1016/j.trf.2023.02.010
  11. Clamann, M., Aubert, M., and Cummings, M. L., 2017, "Evaluation of vehicle-to-pedestrian communication displays for autonomous vehicles," In Proceedings of the Transportation Research Board 96th Annual Meeting, Washington, DC, USA, 8~12.
  12. Faas, S. M., Mathis, L. A., and Baumann, M., 2020, "External HMI for self-driving vehicles: Which information shall be displayed?," Transportation research part F: traffic psychology and behaviour, Vol. 68, pp. 171~186. https://doi.org/10.1016/j.trf.2019.12.009
  13. Habibovic, A., Lundgren, V. M., Andersson, J., Klingegard, M., Lagstrom, T., Sirkka, A., ... and Larsson, P., 2018, "Communicating intent of automated vehicles to pedestrians," Frontiers in Psychology, 9, 1336. https://doi.org/10.3389/fpsyg.2018.01336
  14. Dey, D. and Terken, J., 2017, "Pedestrian interaction with vehicles: roles of explicit and implicit communication," In Proceedings of the 9th international conference on automotive user interfaces and interactive vehicular applications, pp. 109~113. https://doi.org/10.1145/3122986.312300
  15. 한국교통안전공단(2022), V2E 인지판단 안전성 및 사고대응 평가기술 개발.
  16. Hancock, M. W., and Wright, B., 2013, "A policy on geometric design of highways and streets," American Association of State Highway and Transportation Officials: Washington, DC, USA, 3.
  17. Ding, T., Wang, S., Xi, J., Zheng, L., and Wang, Q., 2015, "Psychology-based research on unsafe behavior by pedestrians when crossing the street," Advances in Mechanical Engineering, Vol. 7, No. 1, 203867. https://doi.org/10.1155/2014/203867
  18. Bindschadel, J., Krems, I., and Kiesel, A., 2022, "Two-step communication for the interaction between automated vehicles and pedestrians," Transportation research part F: traffic psychology and behaviour, Vol. 90, pp. 136~150. https://doi.org/10.1016/j.trf.2022.08.016