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Connected vehicle real-time traveler information messages for freeway speed harmonization under adverse weather conditions: Trajectory level analysis using driving simulator

机译:连接的车辆实时旅行者信息在恶劣的天气条件下实现高速公路速度协调:使用驾驶模拟器进行轨迹级别分析

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This paper employed a high-fidelity driving simulator to investigate the impacts of the Wyoming Department of Transportation (WYDOT) Connected Vehicle (CV) Pilot's Traveler Information Messages (TIMs) on drivers' speed selection and the safety benefits of their speed harmonization. Three driving simulator experiment scenarios were developed to simulate the typical traffic and weather conditions on the rural Interstate 80 (I-80) in Wyoming. A total of 25 professional drivers from the WYDOT and trucking industry were recruited to participate in the driving simulator experiment. Participants' instantaneous speeds at various locations were collected to reveal the effects of CV TIMs on their speed selection. The results showed that average speed profiles under CV scenarios were generally lower than under baseline scenarios, particularly for winter conditions (snowy and severe weather). The variance of speed under CV scenarios was found to be significantly lower than the baseline scenarios, indicating that CV TIMs have the potential to harmonize the variations in speed. In addition, for the work zone driving simulator experiment, this research revealed that the mean time-to-collision (TTC) under baseline scenario is approximately 40 % lower than CV scenario, and the mean deceleration to avoid a crash (DRAC) under baseline scenario is approximately 19.3 % higher than CV scenario. These findings suggest that CV TIMs can reduce the risk of crashes. Research findings would provide the WYDOT with early insights into the effectiveness of CV TIMs, which could assist with developing more efficient transportation management stra-tegies under adverse weather conditions.
机译:本文采用了高保真驾驶模拟器,调查Wyoming运输部(Wydot)所连接的车辆(CV)飞行员的旅行者信息消息(TIMS)对驾驶员的速度选择以及其速度协调的安全益处的影响。开发了三种驾驶模拟器实验场景,以模拟典型的典型交通和天气状况,在怀俄明州的农村州际公路(I-80)。招募了来自汶托和货运业的25个专业司机,参加了驾驶模拟器实验。参与者在各个地点的瞬时速度被收集,以揭示CV Tims对其速度选择的影响。结果表明,CV方案下的平均速度谱一般低于基线情景,特别是对于冬季条件(雪和恶劣天气)。发现CV场景下的速度的变化显着低于基线场景,表明CV TIM具有促进速度变化的可能性。此外,对于驾驶模拟器实验的工作区,本研究表明,基线场景下的平均碰撞(TTC)比CV场景低约40%,避免基线下崩溃(DRAC)的平均减速方案比CV场景高约19.3%。这些研究结果表明,CV TIM可以降低崩溃的风险。研究结果将提供早期洞察CV时间的有效性的威特多特,这可以帮助在恶劣的天气条件下开发更有效的运输管理管制体Stra-Tegies。

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