Modeling and Assessing the Influence of Connected and Automated Vehicle Penetration Rates on Urban Arterial Road Operational Performance

机译：建模与评估关联和自动化车辆渗透率对城市动脉道运营绩效影响的影响

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This research focuses on modeling and assessing the influence of connected and automated vehicle (CAV) penetration rates on an arterial road operational performance. A 2.5-mi urban arterial road in the city of Charlotte, North Carolina, was chosen for microscopic simulation modeling using PTV VISSIM traffic simulation software and assessment in this research. The selected corridor, along N. Tryon St. from Mallard Creek Church Rd. to University Pointe Blvd., has eight intersections. During the model development process, key indicators such as driver behavior parameters, acceleration/deceleration profiles, time lead, and space headway were modified to incorporate the possible influence of non-CAVs and CAVs on arterial road operational performance. The base (or existing) scenario was first calibrated and validated using real-world travel times and turning movement counts. Hypothetical build scenarios (inclusion of CAVs) were then tested to assess the influence of varying CAV penetration rates (0%-100%, increments of 20) on operational performance measures such as travel time, delay, and the number of stops. The results indicate that CAVs are capable of improving the operational performance of urban arterial roads.

机译：本研究侧重于建模和评估连接和自动化车辆（CAV）渗透率对动脉道操作性能的影响。在北卡罗来纳州夏洛特市的一个2.5英里城市动脉道，选择了使用PTV Vissim流量仿真软件和本研究评估的微观模拟建模。所选走廊，沿着N. Tryon St.来自Mallard Creek Church Rd。致大学Pointe Blvd.，有八个十字路口。在模型开发过程中，修改了驾驶员行为参数，加速/减速轮廓，时间铅和空间通道等关键指标，以纳入非脉冲和域对动脉道路操作性能的可能影响。首先使用真实世界的旅行时间和转动运动计数校准并验证基础（或现有）方案。然后测试假设的构建情景（包含脉冲），以评估不同的CAV渗透率（0％-100％，增量20）对旅行时间，延迟和停止数量的影响的影响。结果表明，骑士群岛能够提高城市动脉道路的运行性能。

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《International Conference on Transportation and Development》|2020年|98-108|共11页
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Sonu Mathew; Sarvani Duvvuri; Srinivas S. Pulugurtha;
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Modeling and Assessing the Influence of Connected and Automated Vehicle Penetration Rates on Urban Arterial Road Operational Performance

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