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Cooperative Driving Automation Alerts During Rainy Weather Conditions

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English


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    Final Report
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  • Abstract:
    Cooperative driving automation (CDA) technology can send messages to CDA-enabled devices inside a vehicle to alert drivers to adverse road weather conditions. CDA messages and adaptive cruise control (ACC) have been found to influence driver behavior and increase safe vehicle operation. This study investigated the effects of CDA messages and ACC on driving behavior and perspectives when driving during simulated heavy-rain conditions. The messages informed drivers about potential road surface and visibility conditions impacted by heavy rain. Participants drove a test vehicle in simulated heavy rain while following a vehicle driven by a researcher. Participants drove at two speed limits in either an ACC-enabled vehicle or a vehicle without ACC. Each participant received four CDA message conditions: no CDA message, audio message, visual message, and audio and visual messages. The research vehicle recorded driving performance (i.e., speed, brake pedal usage, steering wheel movement, and following distance from the lead vehicle). Participants were later asked to rate the CDA message and ACC systems for overall usefulness, comfort, and safety. Driving performance measures were statistically analyzed to assess the impact of ACC status and CDA messages on driver behavior. Overall, all CDA messages were effective, especially when paired with ACC. The CDA messages transmitted information without hindering driver performance, and none resulted in abrupt behavior changes among participants. The CDA messages did not adversely affect driver performance in terms of vehicle speed, following distance, brake pedal usage, or steering wheel movement. Adding the ACC feature noticeably improved driving performance through more stable driving when compared to vehicles without ACC. Drivers also had a generally positive view of the usefulness, comfort, and safety improvement of the CDA and ACC systems.
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    urn:sha-512:b73cceabd7845dca4f634a3252d64af95a47144db73e6aa413ec0e9b61cfa9ad231d4be04b68341f50fd6dab6366782ce2588eb6d4798bbe188dbc1142f14ece
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    Filetype[PDF - 1.42 MB ]
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English
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