基于复杂网络理论的城市多层交通网络建模、分析与优化

随着我国城市化进程的加快，居民出行需求大幅提高，城市功能布局、交通设施、交通方式结构日新月异，各类交通网络衔接更加紧密。只有充分考虑交通网络之间的竞争、合作关系，及时更新交通需求信息，才能在这个城市交通系统快速发展的关键时期，合理配置交通资源，保障城市交通系统的健康、可持续发展。基于复杂网络理论，本项目研究城市多层交通网络的建模、分析与优化方法，主要研究内容包括：城市多层交通网络建模、时变交通需求估计、城市多层交通网络的拓扑结构与动力学分析、城市多层交通网络优化。本项目拟将复杂网络、人类动力学、交通工程领域中的研究方法恰当结合，建立城市多层交通网络模型，分析其拓扑结构与动力学特性，通过构建供需二分网络，建立高效、直观的城市多层交通网络优化模型，以期推进多层网络实证分析研究的发展，为建设高效、便捷、可靠的城市综合交通系统奠定理论基础。

With the acceleration of urbanization process in our country, there is a substantial increase of residents' mobility demand. The layout of urban functions, transport facilities, mode split are rapidly changing. Transportation networks are connected more closely. In this critical period of rapid development of urban transportation systems, only with the competition and cooperation between transportation networks being fully considered, and travel demand information being updated in time can transportation resources be properly distributed and the healthy and sustainable development of urban transportation systems be guaranteed. Based on complex network theory, the project will study the modeling, analysis and optimization of multi-layer urban transportation networks. The main contents include: the modeling of multi-layer urban transportation networks, the prediction of time-variant travel demand, the analysis of topology and dynamics of multi-layer urban transportation networks and the optimization of multi-layer urban transportation networks. In order to model multi-layer urban transportation networks and analyze their topological and dynamical characteristics, the project intends to properly integrate the methodologies in the fields of complex network, human dynamics and traffic engineering. Employing supply-demand bipartite networks, this project aims to build an efficient and intuitive optimization model for multi-layer urban transportation networks, thus developing the empirical study and analysis of multi-layer networks and offering theoretical foundation for building efficient, convenient and reliable urban transportation systems.