Evaluating the mobility performance of autonomous vehicles at a signalized traffic intersection
Evaluating the mobility performance of autonomous vehicles at a signalized traffic intersection
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评估自动驾驶车辆在信号交通交叉口的移动性能
DOI：
10.1117/12.2606614
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Lu, Pan
中科院分区：
文献类型：
--
作者：
Ahmad, Salman;Rogers, Joshua;Nelson, Martha;Huang, Ying;Ajmera, Beena;Lu, Pan
自动驾驶汽车（AV）或互联自动驾驶汽车（CAV）技术的最新发展已经导致预测，完全自动驾驶的汽车可能会在未来几十年内彻底改变交通网络。然而，在现阶段，AV和CAV仍处于开发阶段，需要在现场进行各种试验，并通过在真实的道路网络上的自动驾驶里程进行机器学习。在市场完全采用自动驾驶技术之前，传统和自动驾驶汽车之间将存在很长的共存过渡期。研究和开发未来自动驾驶汽车的预期驾驶行为非常重要，交通仿真平台为研究人员和技术开发人员提供了一个机会，在将其投入实际地面之前实施和评估自动驾驶汽车技术的不同行为。利用PTV VISSIM微观仿真平台，对无人驾驶车辆在四向信号交叉口的机动性进行了仿真研究。该软件包含三种不同的AV就绪驾驶逻辑，例如AV谨慎、AV正常和AV激进，这些逻辑针对传统车辆的性能进行了测试，研究结果表明，整体网络运行性能随着AV的逐步引入而提高使用AV-正常，和主动驾驶行为，而谨慎驾驶行为则趋于保守，导致交通性能恶化。
Recent developments in autonomous vehicle (AV) or connected AVs (CAVs) technology have led to predictions that fully self-driven vehicles could completely change the transportation network over the next decades. However, at this stage, AVs and CAVs are still in the development stage which requires various trails in the field and machine learning through autonomous driving miles on real road networks. Until the complete market adoption of autonomous technology, a long transition period of coexistence between conventional and autonomous cars would exist. It is important to study and develop the expected driving behavior of future autonomous cars and the traffic simulation platforms provide an opportunity for researchers and technology developers to implement and assess the different behaviors of self-driving vehicle technology before launching it to the actual ground. This study utilizes PTV VISSIM microsimulation platform to evaluate the mobility performance of unmanned vehicles at a 4-way signalized traffic intersection. The software contains three different AV-ready driving logics such as AV-cautious, AV-normal, and AV-aggressive which were tested against the performance of the conventional vehicles, and the results of the study revealed that the overall network operational performance improves with the progressive introduction of AVs using AV-normal, and AV-aggressive driving behaviors while the AV-cautious driving behavior stays conservative and deteriorates the traffic performance.
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