Statistical estimation in passenger-to-train assignment models based on automated data
文献类型：期刊论文
| 作者 | Xiong, Shifeng1; Li, Chunya2; Sun, Xuan3; Qin, Yong4; Wu, Chien-Fu Jeff5 |
| 刊名 | APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY
 |
| 出版日期 | 2021-12-23 |
| 页码 | 21 |
| ISSN号 | 1524-1904 |
| 关键词 | EM algorithm Gaussian process interpolation nonparametric density estimation passenger flow spline |
| DOI | 10.1002/asmb.2660 |
| 英文摘要 | With the rapid development of metro systems, it has become increasingly important to study phenomena such as passenger flow distribution and passenger boarding behavior. It is difficult for existing methods to accurately describe actual situations and to extend to the whole metro system due to the limitations from parameter uncertainties in their mathematical models. In this article, we propose a passenger-to-train assignment model to evaluate the probabilities of individual passengers boarding each feasible train for both no-transfer and one-transfer situations. This model can be used to understand passenger flows and crowdedness. The input parameters of the model include the probabilities that the passengers take each train and the probability distribution of egress time, which is the time to walk to the tap-out fare gate after alighting from the train. We present the likelihood method to estimate these parameters based on data from the automatic fare collection and automatic vehicle location systems. This method can construct several nonparametric density estimates without assuming the parametric form of the distribution of egress time. The EM algorithm is used to compute the maximum likelihood estimates. Simulation results indicate that the proposed estimates perform well. By applying our method to real data in Beijing metro system, we can identify different passenger flow patterns between peak and off-peak hours. |
| 资助项目 | High-level Talents Training Program of Ministry of Transportation of China[I18I00010] ; National Natural Science Foundation of China[12171462] ; National Natural Science Foundation of China[11871033] ; Foundation Sciences of Beijing Jiaotong University[2020YJS206] ; NSF[1914632l] |
| WOS研究方向 | Operations Research & Management Science ; Mathematics |
| 语种 | 英语 |
| 出版者 | WILEY |
| WOS记录号 | WOS:000733650700001 |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/59739]  |
| 专题 | 中国科学院数学与系统科学研究院 |
| 通讯作者 | Qin, Yong; Wu, Chien-Fu Jeff |
| 作者单位 | 1.Chinese Acad Sci, Acad Math & Syst Sci, INCMIS, KLSC, Beijing, Peoples R China 2.Shanghai Univ Engn Sci, Sch Math Phys & Stat, Shanghai, Peoples R China 3.Beijing Jiaotong Univ, Sch Traff & Transportat, Beijing, Peoples R China 4.Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing 100044, Peoples R China 5.Georgia Inst Technol, H Milton Stewart Sch Ind & Syst Engn, Atlanta, GA 30332 USA |
| 推荐引用方式 GB/T 7714 | Xiong, Shifeng,Li, Chunya,Sun, Xuan,et al. Statistical estimation in passenger-to-train assignment models based on automated data[J]. APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY,2021:21. |
| APA | Xiong, Shifeng,Li, Chunya,Sun, Xuan,Qin, Yong,&Wu, Chien-Fu Jeff.(2021).Statistical estimation in passenger-to-train assignment models based on automated data.APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY,21. |
| MLA | Xiong, Shifeng,et al."Statistical estimation in passenger-to-train assignment models based on automated data".APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY (2021):21. |
入库方式： OAI收割
来源：数学与系统科学研究院
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