考虑合乘出行的交通系统流量时空分布与合乘定价研究

With the development of the technological revolution and sharing economy, ridesharing services of Transportation Network Companies have caused extensive concern. Ridesharing is an emerging mode of travel mode with great development potential. Therefore, in the urban transportation system with consideration of ridesharing, a large number of basic scientific problems need to be solved urgently, and a large number of difficult problems need to be broken. Therefore, the project takes the transportation system with consideration of ridesharing as the research object. Firstly, this project aims to identify the components of the travel cost function of each travel mode and calibrate the weights of the corresponding components according to the actual traffic data. On this basis, the interaction mechanism between the ridesharing pattern and the road traffic condition is analyzed from the spatial dimension. The static stochastic user equilibrium model with consideration of ridesharing is established to describe the integrated behavior of traffic mode choice and route choice. It further can reveal the spatial regularity of traffic flow. Then, the interaction mechanism between the ridesharing pattern and the road traffic condition is analyzed from the temporal dimension. The dynamic user equilibrium model of morning commute problem with consideration of ridesharing is established to describe the integrated behavior of departure time choice and traffic mode choice. It further can reveal the temporal regularity of traffic flow. Finally, based on the research on the spatial-temporal distribution of traffic flow with consideration of ridesharing, this project proposes the integrated optimization pricing strategy model. Then an effective algorithm is designed to solve this model. Therefore, this project will provide decision support and theoretical basis for the traffic management department.

在新一轮科技革命与共享经济的浪潮下，合乘出行服务受到广泛追捧与关注。然而，作为一种新兴且极具发展潜力的交通出行方式，合乘出行模式下的城市交通系统存在大量基础科学问题亟待解决。为此，本项目以合乘出行模式下的交通系统为研究对象，首先利用实际交通出行数据，识别各类出行方式阻抗函数构成要素并标定权重；在此基础上，从空间维度分析合乘出行模式与道路交通状态的相互作用机理，建立描述出行者整合出行方式与出行路径选择的静态交通随机用户均衡模型，揭示合乘出行模式下交通系统流量空间分布规律；然后，从时间维度分析合乘出行模式与道路交通状态的相互作用机理，建立描述出行者整合出发时刻与出行方式选择的早高峰通勤动态用户均衡模型，揭示合乘出行模式下交通系统流量时间分布规律；最后，在对合乘出行模式下交通流量时空分布规律研究的基础上，提出整合优化合乘定价策略模型，并设计算法进行求解，从而为交通管理部门提供决策支持与理论依据。