标题：The Dynamic Optimization of the Departure Times of Metro Users during Rush Hour in an Agent-Based Simulation: A Case Study in Shenzhen, China
作者： Xi, YL (Xi, Yuliang); Du, QY (Du, Qingyun); He, B (He, Biao); Ren, F (Ren, Fu); Zhang, Y (Zhang, Yu); Ye, XY (Ye, Xinyue)
来源出版物：APPLIED SCIENCES-BASEL卷：7期：11 文献编号:1102 DOI：10.3390/app7111102 出版年：NOV 2017
摘要：As serious traffic problems have increased throughout the world, various types of studies, especially traffic simulations, have been conducted to investigate this issue. Activity-based traffic simulation models, such as MATSim (Multi-Agent Transport Simulation), are intended to identify optimal combinations of activities in time and space. It is also necessary to examine commuting-based traffic simulations. Such simulations focus on optimizing travel times by adjusting departure times, travel modes or travel routes to present travel suggestions to the public. This paper examines the optimal departure times of metro users during rush hour using a newly developed simulation tool. A strategy for identifying relatively optimal departure times is identified. This study examines 103,637 person agents (passengers) in Shenzhen, China, and reports their average departure time, travel time and travel utility, as well as the numbers of person agents who are late and miss metro trips in every iteration. The results demonstrate that as the number of iterations increases, the average travel time of these person agents decreases by approximately 4 min. Moreover, the latest average departure time with no risk of being late when going to work is approximately 8:04, and the earliest average departure time with no risk of missing metro trips when getting off work is approximately 17:50.
作者关键词：dynamic optimization; departure times; metro; rush hour; agent-based simulation; Shenzhen
通讯作者地址： Du, QY (reprint author), Wuhan Univ, Sch Resources & Environm Sci, Wuhan 430079, Hubei, Peoples R China.
Du, QY (reprint author), Wuhan Univ, Minist Educ, Key Lab Geog Informat Syst, Luoyu Rd 129, Wuhan 430079, Hubei, Peoples R China.
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[Xi, Yuliang; Du, Qingyun; Ren, Fu; Zhang, Yu] Wuhan Univ, Sch Resources & Environm Sci, Wuhan 430079, Hubei, Peoples R China.
[Xi, Yuliang; Du, Qingyun; Ren, Fu; Zhang, Yu] Wuhan Univ, Minist Educ, Key Lab Geog Informat Syst, Luoyu Rd 129, Wuhan 430079, Hubei, Peoples R China.
[He, Biao] Shenzhen Univ, Coll Architecture & Urban Planning, Nanhai St 3688, Shenzhen 518061, Peoples R China.
[Ye, Xinyue] Kent State Univ, Dept Geog, Kent, OH 44242 USA.
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