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Article

Human-Centered Optimization of Expressway Interchange Guide-Sign Infrastructure in Complex Road Networks: Evidence from Visual Behavior, Physiological Responses, and Driving Simulation

1
Zhejiang Communications Construction Group Co., Ltd., Hangzhou 310051, China
2
College of Civil Engineering, Fuzhou University, Fuzhou 350108, China
*
Author to whom correspondence should be addressed.
Infrastructures 2026, 11(8), 265; https://doi.org/10.3390/infrastructures11080265
Submission received: 28 June 2026 / Revised: 28 July 2026 / Accepted: 29 July 2026 / Published: 31 July 2026

Abstract

Expressway interchange guide signs must support rapid route decisions under limited viewing time, high information load, and potential vehicle occlusion. This study developed a human-centered framework for optimizing guide-sign information and presentation in complex expressway networks by integrating an on-road field experiment, driving simulation, eye-movement measures, physiological responses, and driving behavior. The field experiment involved ten drivers unfamiliar with the Fuzhou expressway network and yielded 119 valid sign-reading episodes. A separate simulation experiment with 60 licensed drivers examined character heights of 55, 65, and 75 cm and roadside, median-side, and dual-side installation under three ordinal traffic background conditions. Drivers generally initiated visual search in the upper-left region of sign panels and focused on route-relevant place names and directional arrows. Descriptive observations suggested that usable control-point information could support route inference when the destination was absent, whereas the absence of both destination and usable control-point information was accompanied by more sustained deceleration and more dispersed visual search. Effective viewing distance increased across the tested character-height conditions. At a design speed of 120 km/h and an assumed recognition time of 2.6 s, the required viewing distance was approximately 86.7 m. The mean viewing distance for the 55 cm condition was below this requirement, whereas the 65 and 75 cm conditions exceeded it. The findings were applied to Xiuzhai Interchange. In a dynamic screen-based route-choice test, 24 of 25 participants made acceptable choices. Overall, guide signs in complex networks should be designed as coordinated information systems integrating control-point hierarchy, information continuity, character height, and installation position.
Keywords: expressway interchange; guide signs; visual search; physiological workload; driving simulation; information continuity; human-centered design expressway interchange; guide signs; visual search; physiological workload; driving simulation; information continuity; human-centered design

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MDPI and ACS Style

Zhi, Y.; Lou, S.; Wu, H.; Luo, Y.; Yang, Y. Human-Centered Optimization of Expressway Interchange Guide-Sign Infrastructure in Complex Road Networks: Evidence from Visual Behavior, Physiological Responses, and Driving Simulation. Infrastructures 2026, 11, 265. https://doi.org/10.3390/infrastructures11080265

AMA Style

Zhi Y, Lou S, Wu H, Luo Y, Yang Y. Human-Centered Optimization of Expressway Interchange Guide-Sign Infrastructure in Complex Road Networks: Evidence from Visual Behavior, Physiological Responses, and Driving Simulation. Infrastructures. 2026; 11(8):265. https://doi.org/10.3390/infrastructures11080265

Chicago/Turabian Style

Zhi, Yanshuang, Shuzhen Lou, Hongfu Wu, Yingying Luo, and Yanqun Yang. 2026. "Human-Centered Optimization of Expressway Interchange Guide-Sign Infrastructure in Complex Road Networks: Evidence from Visual Behavior, Physiological Responses, and Driving Simulation" Infrastructures 11, no. 8: 265. https://doi.org/10.3390/infrastructures11080265

APA Style

Zhi, Y., Lou, S., Wu, H., Luo, Y., & Yang, Y. (2026). Human-Centered Optimization of Expressway Interchange Guide-Sign Infrastructure in Complex Road Networks: Evidence from Visual Behavior, Physiological Responses, and Driving Simulation. Infrastructures, 11(8), 265. https://doi.org/10.3390/infrastructures11080265

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