[1]雷旭,李立,李光泽,等.多车道交通流理论与应用研究综述[J].长安大学学报(自然科学版),2020,40(4):78-90.
 LEI Xu,LI Li,LI Guang ze,et al.Review of multilane traffic flow theory and application[J].Journal of Chang’an University (Natural Science Edition),2020,40(4):78-90.
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多车道交通流理论与应用研究综述()
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长安大学学报(自然科学版)[ISSN:1006-6977/CN:61-1281/TN]

卷:
第40卷
期数:
2020年4期
页码:
78-90
栏目:
交通工程
出版日期:
2020-07-15

文章信息/Info

Title:
Review of multilane traffic flow theory and application
作者:
雷旭李立李光泽汪贵平
(长安大学 电子与控制工程学院,陕西 西安 710064)
Author(s):
LEI Xu LI Li LI Guangze WANG Guiping
(School of Electronic and Control Engineering, Changan University, Xian 710064, Shaanxi, China)
关键词:
交通工程多车道交通流综述理论与应用通行能力交通流模型交通控制
Keywords:
traffic engineering multilane traffic flow review theory and application traffic capacity traffic flow model traffic control
文献标志码:
A
摘要:
为了深入了解多车道交通流特性对道路设施高效安全稳定运行的影响,从理论研究、技术发展和工程应用等角度回顾了近年来多车道交通流理论和应用研究。介绍衡量多车道交通流纵向通过能力和横向分布状况的量化指标及其影响因素,说明其与宏微观交通流特性的关系;从微观、中观和宏观3个层次阐述了多车道交通流建模方法和代表性研究;按照智能化等级分类,介绍了传统和新型多车道交通流控制技术。基于对现有研究的分析和讨论,从多车道交通流状态监测、模拟和控制等方面提出了此领域的未来发展方向。研究表明:该领域应从以下几方面开展研究,研究多源数据驱动的多车道交通流状态监测技术;提出减少交通分布不均衡的交通设计方法;合理平衡换道模型的通用性和个性化;提升考虑换道车流及个体车辆随机运动的宏观交通流模型性能;开展微观、中观、宏观建模方法的借鉴和融合;加强车道级交通信号控制、动态车道分组等传统多车道交通控制技术的研究和应用;拓展智能网联背景下的多车道交通流控制理论和技术的研究范畴等。
Abstract:
In order to deeply understand the influence of multilane traffic flow characteristics on the efficient, safe and stable operation of road facilities, the theory and application of multilane traffic flow in recent years were reviewed, from the perspectives of theoretical research, technical development and engineering application. The quantitative indicators and their influence factors were introduced to measure the longitudinal passage capacity and transverse distribution of multilane traffic flow. The relationships between the indicators and the traffic flow characteristics were also revealed. The modeling methods and typical researches were summarized on microscopic, mesoscopic, and macroscopic multilane traffic flow. Moreover, the traditional and novel traffic control methods of multilane traffic flow were introduced, according to their intelligence levels. Based on the analysis and discussion of previous studies, future improvement directions were pointed out which cover the aspects of multilane traffic flow monitoring, modeling, and control. The results show that the research of this field will be carried out from the following aspects, study the multisource driven traffic flow monitoring method, the traffic design should be proposed which can reduce traffic flow distribution unbalance, lane changing model should be improved by balancing its generality and specificity, the macroscopic traffic flow model should be able to model the influence of lane changing flow or random movements of individual vehicles in higher accuracy, the modeling methods of macroscopic, mesoscopic, and microscopic traffic flow should mutually share their merits, the research and application of traditional multilane traffic control methods, such as lanescale traffic signal control and dynamic lane grouping, and the intelligent and networking technologies should be introduced in multilane traffic control to extend the study domain of this topic. 68 refs.

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更新日期/Last Update: 2020-07-31