Complex network theory is a multidisciplinary research direction of complexity science which has experienced a rapid surge of interest over the last two decades. Its applications in land-based urban traffic network studies have been fruitful, but have suffered from the lack of a systematic cognitive and integration framework. This paper reviews complex network theory related knowledge and discusses its applications in urban traffic network studies in several directions. This includes network representation methods, topological and geographical related studies, network communities mining, network robustness and vulnerability, big-data-based research, network optimization, co-evolution research and multilayer network theory related studies. Finally, new research directions are pointed out. With these efforts, this physics-based concept will be more easily and widely accepted by urban traffic network planners, designers, and other related scholars.

中文翻译：

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复杂网络理论在城市交通网络研究中的应用

复杂网络理论是复杂性科学的一个多学科研究方向，在过去的二十年中，它的兴趣迅速增长。它在基于陆地的城市交通网络研究中的应用取得了丰硕的成果，但是由于缺乏系统的认知和整合框架而遭受了困扰。本文回顾了复杂网络理论的相关知识，并从多个方向讨论了其在城市交通网络研究中的应用。这包括网络表示方法，拓扑和地理相关研究，网络社区挖掘，网络健壮性和脆弱性，基于大数据的研究，网络优化，协同进化研究以及多层网络理论相关研究。最后指出了新的研究方向。经过这些努力，