Agent-Based Modeling and Simulation for the Bus-Corridor Problem in a Many-to-One Mass Transit System
Agent-Based Modeling and Simulation for the Bus-Corridor Problem in a Many-to-One Mass Transit System
复制标题
多对一公共交通系统中公交走廊问题的基于代理的建模与仿真
DOI：
10.1155/2014/652869
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发表时间：
2014
影响因子：
1.4
通讯作者：
Gao Yang
中科院分区：
文献类型：
--
作者：
Xie Qinmu;Ma Shoufeng;Jia Ning;Gao Yang
随着城市交通拥堵问题的日益严重，出行时间的选择越来越成为影响通勤者出行的重要因素。通过使用多智能体建模和Bush-Mosteller强化学习模型，我们模拟了一个多对一的公共交通系统在早高峰期间通勤者的出发时间选择的一天到一天的演变。首先，我们通过与传统分析方法的比较来验证模型。在此基础上，进一步研究了出发时间均衡的形成过程。为了验证模型的有效性，本文放宽了一些初始假设，并考虑通勤者的异质性和记忆限制进行了两组实验。研究结果表明，异质通勤者的出行时间分布较宽，且在平衡点处的出行高峰较低，不同人群的出行模式也不同。当每个通勤者的记忆有限时，系统的演化动力学中存在一些波动，因此很难达到理想的平衡。该研究有助于更好地理解高峰期通勤者的出行时间选择和通勤均衡，为探索复杂交通现象的形成和演化提供了有效途径。
With the growing problem of urban traffic congestion, departure time choice is becoming a more important factor to commuters. By using multiagent modeling and the Bush-Mosteller reinforcement learning model, we simulated the day-to-day evolution of commuters’ departure time choice on a many-to-one mass transit system during the morning peak period. To start with, we verified the model by comparison with traditional analytical methods. Then the formation process of departure time equilibrium is investigated additionally. Seeing the validity of the model, some initial assumptions were relaxed and two groups of experiments were carried out considering commuters’ heterogeneity and memory limitations. The results showed that heterogeneous commuters’ departure time distribution is broader and has a lower peak at equilibrium and different people behave in different pattern. When each commuter has a limited memory, some fluctuations exist in the evolutionary dynamics of the system, and hence an ideal equilibrium can hardly be reached. This research is helpful in acquiring a better understanding of commuter’s departure time choice and commuting equilibrium of the peak period; the approach also provides an effective way to explore the formation and evolution of complicated traffic phenomena.