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Cooperative adaptive cruise control and intelligent traffic signal interaction: a field operational test with platooning on a suburban arterial in real traffic
IET Intelligent Transport Systems ( IF 2.7 ) Pub Date : 2020-11-19 , DOI: 10.1049/iet-its.2019.0742
Simeon C. Calvert 1 , Bart Arem 1
Affiliation  

It is becoming increasingly important to gain real-life insights into the effects of vehicle automation with the continued introduction of cooperative and automated vehicles (CAV). This study reports on the findings of a field operational test (FOT) of cooperative adaptive cruise control (CACC) vehicles on an arterial corridor with other traffic. The FOT demonstrated that that CACC vehicles can operate well under such conditions and can operate in platoons at lower time-headways than human driven vehicles. Platoon disengagement and cut-ins were analysed and showed that although many platoon break-ups are unavoidable, CACC operation was carried out without incident with frequent recoupling of platoons occurring. Most cut-ins occurred near to intersections, where vehicles are required to merge or need to change lanes to turn off the main corridor. It was not possible to derive potential traffic flow improvements from the FOT, due to a limited overall penetration rate and limitations of the intelligent traffic signals. The findings offer greater insights into the performance of CAV technology in a suburban environment and can aid road authorities to prepare infrastructure for the broader introduction of CAVs as well as the development of modelling tools to improve impact analysis of CAVs in urban environments.

中文翻译:

协作式自适应巡航控制和智能交通信号交互:在实际交通中对郊区动脉进行排练的现场操作测试

随着对协作和自动驾驶汽车(CAV)的不断引入,获得现实生活中对汽车自动化效果的洞察力变得越来越重要。这项研究报告了在具有其他交通量的动脉走廊上的协作式自适应巡航控制(CACC)车辆的现场操作测试(FOT)的发现。FOT证明CACC车辆在这种条件下可以很好地运行,并且可以在排中以比人类驾驶的车辆更短的行进时间运行。对排脱离和切入进行了分析,结果表明,尽管不可避免地发生了许多排解体,但CACC操作却没有发生排再频繁发生的事故。大多数路障发生在十字路口附近,十字路口要求车辆合并或需要更改车道以关闭主要走廊。由于总体渗透率有限和智能交通信号的局限性,不可能从FOT得出潜在的交通流量改善。这些发现为郊区环境中的CAV技术性能提供了更深入的见解,并可以帮助道路管理部门为更广泛地引入CAV以及开发建模工具开发基础设施,以改善CAV在城市环境中的影响分析。
更新日期:2020-11-21
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