Visual Analysis of Travel Behavior for Urban Rail Transit

被引：0
作者：
Liu, Haiming [1 ]
Li, Kexin [1 ]
Cai, Zhi [2 ]
机构：
[1] Beijing Jiaotong Univ, Sch Software Engn, Beijing, Peoples R China
[2] Beijing Univ Technol, Sch Comp Sci, Beijing, Peoples R China
来源：
2024 IEEE 21ST INTERNATIONAL CONFERENCE ON MOBILE AD-HOC AND SMART SYSTEMS, MASS 2024 | 2024年
关键词：
Travel behaviors; Automated fare collection; Mass mobility; Urban traffic; Visual analysis; MASS MOBILITY; PATTERNS;
D O I：
10.1109/MASS62177.2024.00087
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Analyzing travel behavior of inhabitant can provide guidance and suggestions for urban traffic management and planning, land use planning, etc. In this paper, we designed a system to analyze the travel behavior of inhabitant using the smart card data of urban rail transit from two aspects, spatial visualization analysis and temporal visualization analysis. In spatial visualization analysis, we first conducted spatial and temporal aggregation for the whole city's smart card data. Then, we designed a spatial chord glyph to display the aggregated data. In temporal visualization analysis, we first proposed an algorithm to determine the degree and direction of cross-regional flow. Then, we study the degree of stability based on the algorithm. We conducted experiments based on urban rail transit in Beijing, the results show that our system can provide appropriate advice and support for urban traffic management and planning as well as land use planning.
引用
收藏
页码：550 / 556
页数：7
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