Using Smart Card Data Trimmed by Train Schedule to Analyze Metro Passenger Route Choice with Synchronous Clustering
المؤلفون المشاركون
Li, Wei
Zhang, Xiongfei
Luo, Qin
Cai, Qing
المصدر
Journal of Advanced Transportation
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-07-24
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
The metro passenger route choice, influenced by both train schedule and time constraints, is important to metro operation and management.
Smart card data (Automatic Fare Collection (AFC) data in metro system) including inbound and outbound swiping time are useful for analysis of the characteristics of passengers’ route choices in metro while they could not reflect the property of train schedule directly.
Train schedule is used in this paper to trim smart card data through removing inbound and outbound walking time to/from platforms and waiting time.
Thus, passengers’ pure travel time in accord with trains’ arrival and departure can be obtained.
Synchronous clustering (SynC) algorithm is then applied to analyze these processed data to calculate passenger route choice probability.
Finally, a case study was conducted to illustrate the effectiveness of the proposed algorithm.
Results showed the proposed algorithm works well to analyze metro passenger route choice.
It was shown that passenger route choice during both peak period and flat period could be clustered automatically, and noise data are isolated.
The probability of route choice calculated through SynC algorithm can be used to revise traditional model results.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Li, Wei& Luo, Qin& Cai, Qing& Zhang, Xiongfei. 2018. Using Smart Card Data Trimmed by Train Schedule to Analyze Metro Passenger Route Choice with Synchronous Clustering. Journal of Advanced Transportation،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1181079
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Li, Wei…[et al.]. Using Smart Card Data Trimmed by Train Schedule to Analyze Metro Passenger Route Choice with Synchronous Clustering. Journal of Advanced Transportation No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1181079
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Li, Wei& Luo, Qin& Cai, Qing& Zhang, Xiongfei. Using Smart Card Data Trimmed by Train Schedule to Analyze Metro Passenger Route Choice with Synchronous Clustering. Journal of Advanced Transportation. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1181079
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1181079
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر