journal article·2024-08-14Open access

Improving Highway Emergency Repair Safety: Design and Evaluation of Interactive Roadblocks Based on Eye Tracking

Xiaohan Zhu, Xuandong Zhao, Jianming Yang, Xiaofei Du, Bowen Sun

Applied Sciences· Volume 14· Issue 16

Abstract

As the number of traffic accident casualties continues to rise globally, this study aims to enhance traffic safety during highway emergency repairs. Based on the fundamentals of human vision, this study designed a novel interactive barricade design, R-barricade, which aims to improve the visibility and warning effect of the barricade, as well as to enhance the interaction with the operator in order to reduce the risk of accidents. We established a comprehensive visual criteria framework, combined with eye-tracking technology, to systematically evaluate the R-barricade. The evaluation results show that the design effectively improves the driver’s attention to the barricade and effectively extends the gaze time, significantly improves the reaction time, and effectively improves the safety of the barricade. This study provides new perspectives for evaluating and improving traffic safety measures during highway emergency repairs and contributes scientific support to the advancement of interactive transport systems and road safety management.
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Research context

OpenAlex topics: Human-Automation Interaction and Safety · Safety Warnings and Signage · Industrial Automation and Control Systems

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Design and Arts, Beijing Institute of Technology, Beijing 102488, China

School of Mechanical Engineering, Nanjing Institute of Technology, Nanjing 211167, China

References (64)

Show source-provided references
1. A Review of Traffic Accidents and Related Practices Worldwide10.2174/1874447801913010065 ↗
2. Stochastic Dynamic Traffic Assignment Model under Emergent Incidents10.1016/j.proeng.2016.01.299 ↗
3. Modelling the Effects of Fuel Price Changes on Road Traffic Collisions in the European Union Using Panel Data10.1016/j.aap.2023.107196 ↗
4. Road Traffic Injuries: Hidden Epidemic in Less Developed Countries
5. Health and Social Consequences of Road Traffic Accidents10.1016/j.kontakt.2017.01.007 ↗
6. Zhu, Q., Liu, Y., Liu, M., Zhang, S., Chen, G., and Meng, H. (2021). Intelligent Planning and Research on Urban Traffic Congestion. Future Internet, 13.10.3390/fi13110284 ↗
7. The Signal Warning Detector (SWAD) for Sustainable Working Environment at Highways10.30880/ijie.2022.14.02.020 ↗
8. Rupasinghe, B., Wallace, M., Gange, G., and Senthooran, I. (2023). Road Pavement Upgrade Scheduling Accounting for Minimizing Congestion. Sci. Rep., 13.10.1038/s41598-023-40945-5 ↗
9. Investigating the Impact Factors of Night Construction for Urban Road Projects10.54097/fbem.v6i2.3020 ↗
10. Power Feasibility of a Low Power Consumption Solar Tracker10.1016/j.proenv.2013.02.064 ↗
11. A Review on the Applications of Programmable Logic Controllers (PLCs)10.1016/j.rser.2016.01.025 ↗
12. Zhang, K., and Hassan, M. (2019). Crash Severity Analysis of Nighttime and Daytime Highway Work Zone Crashes. PLoS ONE, 14.10.1371/journal.pone.0221128 ↗
13. Analysis of Crash Rates at Interstate Work Zones in Indiana10.1177/0361198196152900106 ↗
14. Common Hazards and Their Mitigating Measures in Work Zones: A Qualitative Study of Worker Perceptions10.1016/j.ssci.2014.09.022 ↗
15. Dobrovolny, C.S., Arrington, D.R., Bligh, R.P., and Kuhn, D.L. (2017). MASH Evaluation of TxDOT High-Mounting-Height Temporary Work Zone Sign Support System, Texas A&M Transportation Institute. No. FHWA/TX-16/9-1002-15-8.
16. Dobrovolny, C.S., Arrington, D.R., Bligh, R.P., and Menges, W.L. (2013). Development and MASH Full-Scale Crash Testing of a High-Mounting-Height Temporary Single Sign Support with Aluminum Sign, Texas Department of Transportation, Research and Technology Implementation Office. No. FHWA/TX-13/9-1002-12-5.
17. Dedeji, J.A., Hassan, M.M., and Abejide, S.O. (2016, January 24–25). Effectiveness of Communication Tools in Road Transportation: Nigerian Perspective. Proceedings of the International Conference on Traffic and Transportation Engineering, Belgrade, Serbia.
18. Steele, D., Zabecki, J.L.M., and Zimmerman, L. (2013). Improving the Effectiveness of Nighttime Temporary Traffic Control Warning Devices, Volume 2: Evaluation of Nighttime Mobile Warning Lights, Illinois Department of Transportation. Available online: https://www.ideals.illinois.edu/items/45997.
19. Increasing Conspicuity on Night-Time Roads: Perspectives from Cyclists and Runners10.1016/j.trf.2019.11.016 ↗
20. Improving the Conspicuity and Safety of Pedestrians and Cyclists on Night-Time Roads10.1080/08164622.2023.2174001 ↗
21. Coloring the Destination: The Role of Colour Psychology on Instagram10.1016/j.tourman.2020.104110 ↗
22. Faltaous, S., Baumann, M., Schneegass, S., and Chuang, L.L. (2018, January 23–25). Design Guidelines for Reliability Communication in Autonomous Vehicles. Proceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Toronto, ON, Canada.10.1145/3239060.3239072 ↗
23. Real-Time Intelligent Automatic Transportation Safety Based on Big Data Management10.1109/TITS.2021.3106388 ↗
24. Naveed, Q.N., Alqahtani, H., Khan, R.U., Almakdi, S., Alshehri, M., and Abdul Rasheed, M.A. (2022). An Intelligent Traffic Surveillance System Using Integrated Wireless Sensor Network and Improved Phase Timing Optimization. Sensors, 22.10.3390/s22093333 ↗
25. Selimis, V. (2015). Eye-Tracking Technology in Vehicles: Application and Design. [Master’s Dissertation, City University London].
26. Real-Time Monitoring of Driver Distraction: State-of-the-Art and Future Insights10.1016/j.aap.2023.107241 ↗
27. Investigation of Traffic Signs Understanding-Eye Tracking Case Study
28. Yuen, N.H., Tam, F., Churchill, N.W., Schweizer, T.A., and Graham, S.J. (2021). Driving with Distraction: Measuring Brain Activity and Oculomotor Behaviour Using fMRI and Eye-Tracking. Front. Hum. Neurosci., 15.10.3389/fnhum.2021.659040 ↗
29. Driver Eye Movement Behaviour Recognition Based on a Two-Channel Model of Human Visual Cortex
30. The Interacting Effects of Total Light Intensity and Chromatic Contrast on Visual Signal Visibility in an Anolis Lizard10.1016/j.anbehav.2020.07.008 ↗
31. Lewandowska, A., Olejnik-Krugly, A., Jankowski, J., and Dziśko, M. (2021). Subjective and Objective User Behavior Disparity: Towards Balanced Visual Design and Color Adjustment. Sensors, 21.10.3390/s21248502 ↗
32. Ramamurthy, M., and Lakshminarayanan, V. (2015). Human Vision and Perception. Handbook of Advanced Lighting Technology, Springer.10.1007/978-3-319-00295-8_46-1 ↗
33. Jin, Z., and Gambatese, J. (2018, January 2–4). Temporary Construction Signage: Driver Preferences for Work Zone Safety. Proceedings of the Construction Research Congress 2018, New Orleans, LA, USA.10.1061/9780784481288.059 ↗
34. Freeman, C., and Nel, E. (2024). Planning for the Caring City, Taylor & Francis.10.4324/9781003177012 ↗
35. (2023). Pedestrian Safety: A Road Safety Manual for Decision-Makers and Practitioners, World Health Organization.
36. Perception and Sensing for Autonomous Vehicles under Adverse Weather Conditions: A Survey10.1016/j.isprsjprs.2022.12.021 ↗
37. Craig, C.M., Morris, N.L., Libby, D.A., and Davis, B. (2018). Work Zone Intrusion Report Interface Design, Minnesota Department of Transportation.
38. Sumit, K., Brijs, K., Ross, V., Wets, G., and Ruiter, R.A. (2022). A Focus Group Study to Explore Risky Ridership Among Young Motorcyclists in Manipal, India. Safety, 8.10.3390/safety8020040 ↗
39. Effect of Work Zone Lighting on Drivers’ Visual Performance and Perceptions of Glare10.3141/2617-06 ↗
40. The Relationship Between Traffic Sign Comprehension and Risky Traffic Behaviors
41. Towards Smart Work Zones: Creating Safe and Efficient Work Zones in the Technology Era10.1016/j.jsr.2023.08.006 ↗
42. Damaševičius, R., Bacanin, N., and Misra, S. (2023). From Sensors to Safety: Internet of Emergency Services (IoES) for Emergency Response and Disaster Management. J. Sens. Actuator Netw., 12.10.3390/jsan12030041 ↗
43. Boavida, R., Navas, H., Godina, R., Carvalho, H., and Hasegawa, H. (2020). A Combined Use of TRIZ Methodology and Eco-Compass Tool as a Sustainable Innovation Model. Appl. Sci., 10.10.3390/app10103535 ↗
44. Integrating the Kano Model and QFD for Designing New Products10.1080/14783360701349351 ↗
45. I Want to Brake Free: The Effect of Connected Vehicle Features on Driver Behaviour, Usability and Acceptance10.1016/j.apergo.2019.102932 ↗
46. Digital Technologies of Transportation-Related Communication: Review and the State-of-the-Art
47. Improvement of Productivity by Implementing Occupational Ergonomics
48. The Ability of Eye-Tracking Metrics to Classify and Predict the Perceived Driving Workload10.1016/j.ergon.2021.103193 ↗
49. Lechtenberg, K., Faller, R., Rasmussen, J., and Asadollahi Pajouh, M. (2021). Safety Performance Evaluation of a Non-Proprietary Type III Barricade for Use in Work Zones. International Road Federation World Meeting & Exhibition, Springer International Publisher.10.1007/978-3-030-79801-7_61 ↗
50. Development and Evaluation of a Prototype Barricade Lighting System
51. An Aesthetic Measurement Approach for Evaluating Product Appearance Design
52. A Quantitative Aesthetic Measurement Method for Product Appearance Design10.1016/j.aei.2022.101644 ↗
53. Vision Modes for Target Detection Recognition10.1889/1.1985003 ↗
54. Khalighy, S., Green, G., Scheepers, C., and Whittet, C. (2014, January 6–10). Measuring Aesthetic in Design. Proceedings of the DESIGN 2014 13th International Design Conference, Windhoek, Namibia.
55. Polyvinyl Chloride in Consumer and Environmental Plastics, with a Particular Focus on Metal-Based Additives10.1039/D1EM00213A ↗
56. Müller, F.M. (2012, January 17). EN 1317 and CE Marking Versus National Regulations. Proceedings of the Roadside Safety Design and Devices, Milan, Italy.
57. The Innovation of Natural Rubber Applied with Concrete Road Barriers in Thailand10.4028/www.scientific.net/AST.103.55 ↗
58. Saha, P., and Kobryn, A. (2021, January 8–10). Application of Rolling Slowdown versus Roadblock on High Profile Roadways: A Case Study. Proceedings of the International Conference on Transportation and Development 2021, Virtual.10.1061/9780784483534.018 ↗
59. Road Markings and Signs in Road Safety10.3390/encyclopedia2040119 ↗
60. Stevens, A., Quimby, A., Board, A., Kersloot, T., and Burns, P. (2002). Design Guidelines for Safety of In-Vehicle Information Systems, TRL Limited.
61. Understanding the Potential of Emerging Digital Technologies for Improving Road Safety10.1016/j.aap.2021.106543 ↗
62. Improving Construction Work Zone Safety Using Technology: A Systematic Review of Applicable Technologies
63. Szymoniak, S., Gambatese, J., Lee, H.W., and Zhang, F. (2023). Trustworthy Artificial Intelligence Methods for Users’ Physical and Environmental Security: A Comprehensive Review. Appl. Sci., 13.10.3390/app132112068 ↗
64. A Performance Comparison of YOLOv8 Models for Traffic Sign Detection in the Robotaxi-Full Scale Autonomous Vehicle Competition10.1007/s11042-023-16451-1 ↗