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Joint Deployment of Infrastructure-Assisted Traffic Management and Cooperative Driving around Work Zones

机译:联合部署基础设施辅助的交通管理和合作驾驶在工作区周围

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Highway work zones can induce significant delays and undermine traffic safety. The recent advent of connected and automated vehicles (CAVs) can pose an additional threat to traffic flow performance and safety around highway work zones. CAVs equipped with low – medium level automation systems that cannot reliably address work zone scenarios under all circumstances could induce control transitions and imminent Minimum Risk Manoeuvers (MRMs) that would result in significant traffic disruption and multiple safety critical events. The latter negative effects could be mitigated via the introduction of highly automated vehicles that could utilize sophisticated infrastructure assistance to traverse highway work zones without disengaging automation systems. This study develops novel and utilizes existing vehicle-driver models to simulate manual driving, mixed traffic and infrastructure-assisted highly automated traffic around highway work zones. Traffic operations are evaluated for the latter fleet mixes and three different traffic demand levels. Simulation results indicate that joint deployment of infrastructure-assisted traffic management and cooperative driving can ensure increased traffic efficiency and safety levels for high traffic intensity in a fully connected and automated road environment.
机译:公路工作区可以促进显着的延误和破坏交通安全。最近连接和自动化车辆(CAVE)的出现可能会对公路工作区周围的交通流量性能和安全构成额外的威胁。配备低中型自动化系统的脉冲,无法在所有情况下可靠地解决工作区情景,可能会导致控制过渡和即将发生的最小风险马尾人(MRMS),这将导致大量交通中断和多重安全批判性事件。后一种负面影响可以通过引入高度自动化的车辆来缓解,这可以利用复杂的基础设施辅助来穿越公路工程区而无需脱离自动化系统。本研究开发了新颖的并利用现有的车辆驾驶模型来模拟手动驾驶,混合交通和基础设施辅助高速公路工作区的高度自动化流量。对后者舰队混合和三种不同的交通需求水平进行评估交通运营。仿真结果表明,基础设施辅助交通管理和合作驾驶的联合部署可以确保在完全连接和自动化的道路环境中增加了高流量强度的流量效率和安全水平。

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