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Multisource Data-Driven Modeling Method for Estimation of Intercity Trip Distribution
المؤلفون المشاركون
Du, Bowen
Li, Yilin
Wang, Haiquan
Zhao, Jiejie
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-06-11
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
Traditional intercity trip distribution modeling methods are merely derived from household travel survey due to its limitation to partial or inaccurate information.
With the development of information construction, reliable historical data can be easily collected from different sources, such as sensor and statistical data.
In this study, a data-driven method based on Poisson distribution theory is proposed to estimate intercity trip distribution using sensor data and various city features.
A Poisson model, which reveals the deep correlation between city feature variables and trip distribution, is initially formulated.
The L1-norm approach and the coordinate descent algorithm are then adopted in selecting related features and estimating model parameters, respectively, to reduce the complexity of the model.
Finally, a k-means clustering method is used to analyze the latent correlation between city features and improve the availability of the model.
The methodology is tested on a realistic dataset containing the highway trips of 17 cities in Shandong Province, China.
The city feature variables have 66 dimensions, including economic index and population indicator.
In comparison with traditional gravity model, which regards population as the most important factor affecting city attraction, our result shows that one of the core positive factors is the economic feature, such as gross regional domestic product.
Moreover, the dimension of city features in the developed model decreases from 66 to 13 dimensions.
The model developed in this study performs well in replicating the observed intercity origin-destination matrix.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Li, Yilin& Wang, Haiquan& Zhao, Jiejie& Du, Bowen. 2018. Multisource Data-Driven Modeling Method for Estimation of Intercity Trip Distribution. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1209506
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Li, Yilin…[et al.]. Multisource Data-Driven Modeling Method for Estimation of Intercity Trip Distribution. Mathematical Problems in Engineering No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1209506
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Li, Yilin& Wang, Haiquan& Zhao, Jiejie& Du, Bowen. Multisource Data-Driven Modeling Method for Estimation of Intercity Trip Distribution. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1209506
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1209506
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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