Enhancing Expressway Crash Rescue with Vertical Takeoff and Landing Vehicles: Insights from an Evolutionary Game Study

Expressway traffic crashes often result in higher fatalities and more severe congestion compared with incidents on regular roads, creating significant challenges for timely emergency response. Vertical takeoff and landing (VTOL) vehicles offer a potential solution to bypass surface-level bottlenecks and efficiently deliver emergency personnel and supplies. This study develops a tripartite evolutionary game model to analyze the strategic interactions among crash participants, VTOL operators, and road authorities in the context of expressway rescue. The analysis identifies the most favorable equilibrium as one where point-to-point rescue is adopted, VTOL services are actively provided, and road conditions are effectively managed. This setup encourages coordination among stakeholders and enhances overall rescue efficiency. The evolutionary path is affected by factors such as road regulation costs, subsidy coefficients, and stakeholders’ initial willingness to cooperate. Notably, higher initial cooperation from crash victims and VTOL operators accelerates convergence toward stable outcomes. These findings improve understanding of the feasibility conditions for VTOL deployment in emergency scenarios and guide cost-sharing mechanisms, stakeholder alignment, and policy design to support the practical implementation of VTOL-based rescue strategies.

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Publication Details

Journal
Transportation Research Record Journal of the Transportation Research Board
Published
2026-05-09
DOI
https://doi.org/10.1177/03611981261434229
Primary Topic
Traffic and Road Safety
Type
article
Field-Weighted Citation Impact
0.00

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article

Enhancing Expressway Crash Rescue with Vertical Takeoff and Landing Vehicles: Insights from an Evolutionary Game Study

Chengcheng Wu, Kaiwen Tang, Li Yan
Transportation Research Record Journal of the Transportation Research Board
Traffic and Road Safety
article

Enhancing Expressway Crash Rescue with Vertical Takeoff and Landing Vehicles: Insights from an Evolutionary Game Study

Chengcheng Wu, Kaiwen Tang, Li Yan
article en

Abstract

Expressway traffic crashes often result in higher fatalities and more severe congestion compared with incidents on regular roads, creating significant challenges for timely emergency response. Vertical takeoff and landing (VTOL) vehicles offer a potential solution to bypass surface-level bottlenecks and efficiently deliver emergency personnel and supplies. This study develops a tripartite evolutionary game model to analyze the strategic interactions among crash participants, VTOL operators, and road authorities in the context of expressway rescue. The analysis identifies the most favorable equilibrium as one where point-to-point rescue is adopted, VTOL services are actively provided, and road conditions are effectively managed. This setup encourages coordination among stakeholders and enhances overall rescue efficiency. The evolutionary path is affected by factors such as road regulation costs, subsidy coefficients, and stakeholders’ initial willingness to cooperate. Notably, higher initial cooperation from crash victims and VTOL operators accelerates convergence toward stable outcomes. These findings improve understanding of the feasibility conditions for VTOL deployment in emergency scenarios and guide cost-sharing mechanisms, stakeholder alignment, and policy design to support the practical implementation of VTOL-based rescue strategies.

Transportation Research Record Journal of the Transportation Research Board
Xihua University (CN), United States Department of Transportation (US), State Key Laboratory of Vehicle NVH and Safety Technology (CN)
Key Laboratory of Heavy Rain and Drought-Flood Disasters in Plateau and Basins of Sichuan Province
Openalex Percentile: Top 5%
Traffic and Road Safety
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