Welcome to Francis Academic Press

International Journal of New Developments in Engineering and Society, 2023, 7(7); doi: 10.25236/IJNDES.2023.070708.

Urban Rail Transit Planning and Design Based on ARIMA Model and AnyLogic Software Station Pedestrian Flow Simulation


Guang Yang, Jianye Chen

Corresponding Author:
Jianye Chen

College of Water Resource & Hydropower, Sichuan University, Chengdu, 610065, China


Accompanied by the integration of the world economy and high-speed development, the continuous promotion of the construction of towns and cities with the gradual saturation of urban road traffic, subway, light rail, and other rail transportation has become one of the main ways for residents of large cities to travel. This paper borrows from the network information big data and location conditions analysis, through the ARIMA time series combined with the passenger flow conveyance prediction and combined with the corresponding AnyLogic software to realize the subway entrance and exit people simulation. Accordingly, it realizes the construction planning and station design of the future rail transit trunk line in Haikou City, the capital of Hainan Province.


ARIMA Model, AnyLogic Simulation Model, Urban Rail Transit Planning and Station Design, Footfall Prediction Models, Analysis of Key Urban Locations

Cite This Paper

Guang Yang, Jianye Chen. Urban Rail Transit Planning and Design Based on ARIMA Model and AnyLogic Software Station Pedestrian Flow Simulation. International Journal of New Developments in Engineering and Society (2023) Vol.7, Issue 7: 53-60. https://doi.org/10.25236/IJNDES.2023.070708.


[1] Xinwei Gao. A Comprehensive Study on the Development of Land Surrounding Urban Rail Transit Stations in Groups Taking the Case of Hainan's Transitized Tourist Train as an Example [J]. China Construction, 2022, No. 281(04):104-105. 

[2] Yuan Fang, Feng Zhan, Duochun Ma. Design of a small program based on WeChat platform for residents' travel survey [J]. Modern Information Technology, 2022, 6(14):126-128+133. DOI:10. 19850/j. cnki. 2096-4706. 2022. 014. 029. 

[3] Zhiyi Guo, Hongliang Liu. Application and Construction of Multidimensional Adaptive Computing Models in Estimating the Size of Migrating Population--A Study Based on Census Data in Gansu Province [J]. Northwest Population Journal, 2018, 39(04):105-111. DOI:10. 15884/j. cnki. issn. 1007-0672. 2018. 04. 014. 

[4] Hao Teng, Wei Guo. Settlement prediction based on ARIMA model with RBF neural network[J]. Geomatics & Spatial Information Technology, 2022, 45(S1):275-278. 

[5] Jie Bai, Hongbo Hu. Values of regression model parameters and their uncertainty assessment in measurement [J/OL]. Acta Metrologica Sinica, 2022(12):1-6[2023-01-07]. http://kns. cnki. net/kcms/ detail/ 11. 1864. TB. 20221220. 1358. 015. html. 

[6] Zhiping L .Simulation Analysis of Emergency Evacuation at Urban Rail Transit Station[J].China Transportation Review, 2018.

[7] Antonova, V. M., Grechishkina, N. A. & Kuznetsov, N. A. Analysis of the Modeling Results for Passenger Traffic at an Underground Station Using AnyLogic. J. Commun. Technol. Electron. 65, 712–715 (2020). https://doi. org/10. 1134/S1064226920060029

[8] Tianyi Ma. Analysis of differences in the value of morning and evening peak travel time for commuters [D]. Southwest Jiaotong University, 2019. DOI:10. 27414/d. cnki. gxnju. 2019. 001647. 

[9] Binbin Tan. Simulation and Optimization of Urban Rail Transit Station Facility Layout Based on AnyLogic [J]. Auto Time, 2023, No. 405(09):193-195. 

[10] Andrés Fielbaum, Sergio Jara-Diaz, Antonio Gschwender, Lines spacing and scale economies in the strategic design of transit systems in a parametric city. , Research in Transportation Economics, Volume 90, 2021, 100991, ISSN 0739-8859, https://doi. org/10. 1016/j. retrec. 2020. 100991. 

[11] Oded Cats, Alex Vermeulen, Martijn Warnier, Hans van Lint, Modelling growth principles of metropolitan public transport networks, Journal of Transport Geography, Volume 82, 2020, 102567, ISSN 0966-6923, https://doi. org/10. 1016/j. jtrangeo. 2019. 102567.