Optimization of video surveillance layout in railway passenger stations based on effective coverage requirements
LI Dewei
SUN Long
LIU Junliang
WANG Dan
LI Hua
Abstract:The video surveillance system is a crucial euqipment in ensuring the safety of railway passen-ger stations.Existing studies on optimizing video surveillance layouts at railway passenger stations of-ten overlooks the specific monitoring requirements of these stations,leading to potential inefficiencies in the collected image data.To address this issue,this study first analyzes the video surveillance cover-age requirements of different areas within the stations,focusing on coverage clarity and orientation re-quirements.Subsequently,the impact of these coverage needs on the effective range of surveillance cameras is examined.Based on this,a 0-1 integer programming model is developed to optimize video surveillance layout,aiming to minimize the total deployment cost while ensuring effective coverage of target areas.This model is solved using GUROBI software and validated through a case study at Su-zhou Railway Station.The results of the study indicate that,after a thorough analysis of the surveil-lance requirements in railway passenger stations,the proposed layout achieves a 129.3%improve-ment in overall effective coverage compared to layouts that do not consider these requirements.Spe-cifically,areas requiring target discovery and identification see coverage improvements of 86.5%and 148.1%,respectively,with full coverage achieved in areas necessitating target confirmation.These results provide valuable insights for planning and formulating video surveillance layouts in rail-way passenger stations.
Keywords:railway transportationvideo surveillance layouteffective coverage requirementsrailway passenger stationsset cover
Publication Date:2025-02-28
Online Publishing Date:2025-08-15(First online date of this platform, not the publication date of the document)
Pages:9( 46-54 )
Journal of Beijing Jiaotong University

Journal of Beijing Jiaotong University

ISTICPKUCSCD
ISSN:1673-0291
Year, Vol.(Issue):2025,49(1)