文章摘要
车联网环境下自动驾驶交通流建模与分析
Modeling and analysis of automated driving traffic flow in internet of vehicles environment
投稿时间:2019-06-25  
DOI:
中文关键词: 自动驾驶  跟驰模型  交通流稳定性  混合交通流  车联网
英文关键词: automated driving  car-following model  stability of traffic flow  mixed traffic stream  internet of vehicles
基金项目:国家自然科学基金资助项目(71702016); 重庆市教委科学技术研究计划项目(KJQN201900730); 重庆交通大学高层次人才科研启动项目(19JDKJC-C003).
作者单位E-mail
秦严严 重庆交通大学交通运输学院,重庆,400074 qinyanyan@cqjtu.edu.cn 
余海燕 重庆交通大学经济与管理学院,重庆,400074  
何兆益 重庆交通大学交通运输学院,重庆,400074  
冉斌 威斯康星大学麦迪逊分校土木与环境工程系,威斯康星 麦迪逊,53706  
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中文摘要:
      在车联网环境下,对原有自动驾驶交通流跟驰模型进行改进,构建新的自动驾驶跟驰模型,并理论推导在不同自动驾驶比例下混合交通流稳定性的解析判别条件,从混合交通流稳定域角度对比分析模型改进前后混合交通流的稳定性。结果表明,相比于原自动驾驶跟驰模型,改进后的模型能有效缩小混合交通流不稳定区域,降低混合交通流全速度范围内稳定时所需的最低自动驾驶比例,从而提升自动驾驶混合交通流的稳定性。
英文摘要:
      In internet of vehicles environment, the original automated driving car-following model was improved and a new automated driving car-following model was built, Moreover, stability criterion of the mixed traffic flow was theoretically derived with different automated driving proportions and stability of the mixed traffic flow before and after improvement of the model was analyzed from the perspective of stability regions of mixed traffic flow. The results show that, compared with the original automated driving car-following model, the improved model can effectively reduce the unstable area of mixed traffic flow and reduce the minimum automated driving proportion of mixed traffic flow stability within full speed range, and thus improve the stability of mixed traffic flow.
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