收藏切换
An Analogy-based Deducing Method of Short-Term Passenger Flow in Urban Rail Transit Delays
收藏切换
Yuekun ZHANG1, Jun LIU1, Yueyue WANG2, Mingyu YE3
Urban Rapid Rail Transit | 2025, 38(6) : 33 - 39
Less
收藏切换
Urban Rapid Rail Transit | 2025, 38(6): 33-39
• Academic Discussion •
An Analogy-based Deducing Method of Short-Term Passenger Flow in Urban Rail Transit Delays
Full
Yuekun ZHANG1, Jun LIU1, Yueyue WANG2, Mingyu YE3
Affiliations
  • 1.School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044
  • 2.Beijing Metro Network Administration Co., Ltd., Beijing 100101
  • 3.Beijing BII Technology Development Co., Ltd., Beijing 100029
Published: 2025-12-10 doi: 10.3969/j.issn.1672-6073.2025.06.005
Outline
收藏切换

In the operation of ultra-large-scale urban rail transit networks, train operation delays occur frequently. Accurately and efficiently predicting the number and scope of affected passengers is crucial for network command and dispatch. Based on the normal passenger flow situation, this paper combines the advantages of data-driven and model-driven methods and proposes a short-term prediction method for the scope and number of affected passengers under urban rail train delays. First, based on the detailed OD path data of passenger travel chains under normal conditions, by analyzing the passenger flow direction in the delayed section, the scope of affected passengers is defined and a passenger flow quantity prediction model is constructed. Second, for the affected passenger group, according to the travel choice behavior of passengers under delay conditions, the passenger impedance sensitivity coefficient is calibrated to predict the structural changes of passenger components (waiting, detouring, and loss). Finally, multiple actual train delay scenarios in the Beijing urban rail network are selected for verification. The results show that this method can be effectively applied to multiple scenarios in the Beijing urban rail network. The average relative error of the prediction during the morning peak on weekdays is 4.8%. The time-consuming for predicting various passenger flow indicators within the next 30 minutes with a 5 minute granularity does not exceed 140 seconds, which shows good universality, accuracy, and timeliness. Currently, this solution has been successfully applied in the Beijing Rail Transit Command Center, providing passenger flow risk warnings, passenger guidance, and emergency coordination support for network dispatchers.

urban rail transit  /  passenger flow prediction  /  urban rail transit delays  /  passenger components  /  emergency response
张月坤, 刘军, 王月玥, 叶明玉. 行车延误下线网短时客流类比推测方法及应用. 都市快轨交通, 2025 , 38 (6) : 33 -39 . DOI: 10.3969/j.issn.1672-6073.2025.06.005
Yuekun ZHANG, Jun LIU, Yueyue WANG, Mingyu YE. An Analogy-based Deducing Method of Short-Term Passenger Flow in Urban Rail Transit Delays[J]. Urban Rapid Rail Transit, 2025 , 38 (6) : 33 -39 . DOI: 10.3969/j.issn.1672-6073.2025.06.005
Year 2025 volume 38 Issue 6
74
8
Cite this Article
BibTeX
Article Info
doi: 10.3969/j.issn.1672-6073.2025.06.005
  • Receive Date:2025-03-26
  • Online Date:2026-10-19
  • Published:2025-12-10
Article Data
Affiliations
History
  • Received:2025-03-26
  • Revised:2025-06-08
Funding
Affiliations
    1.School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044
    2.Beijing Metro Network Administration Co., Ltd., Beijing 100101
    3.Beijing BII Technology Development Co., Ltd., Beijing 100029
References
Share
https://castjournals.cast.org.cn/joweb/dskgjt/EN/10.3969/j.issn.1672-6073.2025.06.005
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT