Construction of spatial-temporal portrait database of passenger flow in urban rail transit station based on data drive

Xiaoyu Cheng

doi:10.1117/12.3039510

28 August 2024 Construction of spatial-temporal portrait database of passenger flow in urban rail transit station based on data drive

Xiaoyu Cheng

Author Affiliations +

Proceedings Volume 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024); 132515M (2024) https://doi.org/10.1117/12.3039510
Event: 9th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 2024, Guilin, China

Abstract

In order to relieve the urban traffic pressure and meet the needs of refined passenger transportation organization, this paper describes and summarizes the temporal and spatial characteristics of passenger flow at existing rail transit stations, constructs a set of unique station temporal and spatial portrait library, realizes the fine division of stations, and provides a basis for the passenger transportation organization at stations. Firstly, the passenger flow data of automatic ticketing system (AFC) is preprocessed, and the passenger flow characteristics are described and classified by K-Means ++ based double-layer clustering method combining the passenger flow scale and the passenger flow time series characteristics. Secondly, based on the source-sink theory of landscape ecology, a normalized location-weighted landscape index (NLWLI) is established to evaluate the occupational and residential land around the classified rail transit stations, and then a complete set of spatial and temporal portrait database of station passenger flow is constructed to realize scientific and reasonable station classification. It is of great significance for passenger flow forecasting, station facility layout optimization and surrounding land development and construction.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiaoyu Cheng "Construction of spatial-temporal portrait database of passenger flow in urban rail transit station based on data drive", Proc. SPIE 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 132515M (28 August 2024); https://doi.org/10.1117/12.3039510

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
5 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Databases

Matrices

Transportation

Analytical research

Classification systems

Data modeling

Roads

Show All Keywords

Keywords/Phrases

Search In:

Publication Years