Blind spot warning with hedging (BSW-H): driving simulator-based evaluation of a connected-vehicle warning for large truck–passenger vehicle interactions

Objectives Conventional blind spot warning systems for large trucks generally alert only the equipped vehicle and do not directly communicate blind-spot risk to surrounding passenger-vehicle drivers. This study introduces Blind Spot Warning with Hedging (BSW-H), a warning concept intended for future connected-vehicle deployment and evaluates its passenger-vehicle-facing warning interface in a driving simulator. The study assesses driver behavioral response to the interface rather than an operational Vehicle-to-Everything (V2X) communication architecture.Methods A within-subjects experiment involved 43 licensed drivers. Each participant completed three scenarios: no warning (S0), combined visual-and-auditory warning (S1), and visual-only warning (S2). Blind-spot entry and exit were logged in all scenarios. Outcomes were ordinal blind-spot duration and 5-s speed response, defined as mean speed during the 5 s after entry minus mean speed during the 5 s before entry. Repeated events were analyzed using participant-random-intercept cumulative link and linear mixed-effects models adjusted for blind-spot area; speed-model inference used participant-clustered bias-reduced linearization (CR2) standard errors. Sensitivity analyses used Gamma and log-normal mixed models for continuous duration and alternative 2-, 3-, and 10-s speed windows.Results In the primary duration model, neither S1 (Odds Ratio (OR) = 1.094, p = .410) nor S2 (OR = 0.962, p = .729) was significantly associated with ordinal blind-spot duration relative to S0. In the primary speed model, S2 was associated with a more positive 5-s speed response (β = 0.569 km/h, 95% confidence interval (CI): 0.081 to 1.058, p = .023), whereas S1 was not statistically significant (β = 0.428 km/h, 95% CI: −0.214 to 1.070, p = .185). A more positive response indicates greater acceleration or less deceleration. Continuous-duration sensitivity analyses supported the null Scenario finding. The S2 association was also significant at 2 and 3 s but not at 10 s; S1 remained nonsignificant across all windows.Conclusions The visual-only BSW-H interface was associated with a modest immediate speed response but was not significantly associated with ordinal blind-spot duration. These findings demonstrate outcome-specific behavioral adaptation in a simulator, not reduced crash risk or operational connected-vehicle effectiveness. Field, test-track, and naturalistic research is needed to determine whether such responses reduce blind-spot exposure or conflict risk.

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Publication Details

Journal
Traffic Injury Prevention
Published
2026-10-07
DOI
https://doi.org/10.1080/15389588.2026.2729622
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
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article

Blind spot warning with hedging (BSW-H): driving simulator-based evaluation of a connected-vehicle warning for large truck–passenger vehicle interactions

Di Yang, Abolfazl Taherpour, Mansoureh Jeihani
Traffic Injury Prevention
Human-Automation Interaction and Safety
article

Blind spot warning with hedging (BSW-H): driving simulator-based evaluation of a connected-vehicle warning for large truck–passenger vehicle interactions

Di Yang, Abolfazl Taherpour, Mansoureh Jeihani
article en

Abstract

Objectives Conventional blind spot warning systems for large trucks generally alert only the equipped vehicle and do not directly communicate blind-spot risk to surrounding passenger-vehicle drivers. This study introduces Blind Spot Warning with Hedging (BSW-H), a warning concept intended for future connected-vehicle deployment and evaluates its passenger-vehicle-facing warning interface in a driving simulator. The study assesses driver behavioral response to the interface rather than an operational Vehicle-to-Everything (V2X) communication architecture.Methods A within-subjects experiment involved 43 licensed drivers. Each participant completed three scenarios: no warning (S0), combined visual-and-auditory warning (S1), and visual-only warning (S2). Blind-spot entry and exit were logged in all scenarios. Outcomes were ordinal blind-spot duration and 5-s speed response, defined as mean speed during the 5 s after entry minus mean speed during the 5 s before entry. Repeated events were analyzed using participant-random-intercept cumulative link and linear mixed-effects models adjusted for blind-spot area; speed-model inference used participant-clustered bias-reduced linearization (CR2) standard errors. Sensitivity analyses used Gamma and log-normal mixed models for continuous duration and alternative 2-, 3-, and 10-s speed windows.Results In the primary duration model, neither S1 (Odds Ratio (OR) = 1.094, p = .410) nor S2 (OR = 0.962, p = .729) was significantly associated with ordinal blind-spot duration relative to S0. In the primary speed model, S2 was associated with a more positive 5-s speed response (β = 0.569 km/h, 95% confidence interval (CI): 0.081 to 1.058, p = .023), whereas S1 was not statistically significant (β = 0.428 km/h, 95% CI: −0.214 to 1.070, p = .185). A more positive response indicates greater acceleration or less deceleration. Continuous-duration sensitivity analyses supported the null Scenario finding. The S2 association was also significant at 2 and 3 s but not at 10 s; S1 remained nonsignificant across all windows.Conclusions The visual-only BSW-H interface was associated with a modest immediate speed response but was not significantly associated with ordinal blind-spot duration. These findings demonstrate outcome-specific behavioral adaptation in a simulator, not reduced crash risk or operational connected-vehicle effectiveness. Field, test-track, and naturalistic research is needed to determine whether such responses reduce blind-spot exposure or conflict risk.

Traffic Injury Prevention
Openalex Percentile: Top 7%
Human-Automation Interaction and Safety
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