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Mining Connected Vehicle Data for Beneficial Patterns in Dubai Taxi Operations
المؤلفون المشاركون
Lu, Pan
Tolliver, Denver
Bridgelall, Raj
Xu, Tai
المصدر
Journal of Advanced Transportation
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-8، 8ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-09-16
دولة النشر
مصر
عدد الصفحات
8
التخصصات الرئيسية
الملخص EN
On-demand shared mobility services such as Uber and microtransit are steadily penetrating the worldwide market for traditional dispatched taxi services.
Hence, taxi companies are seeking ways to compete.
This study mined large-scale mobility data from connected taxis to discover beneficial patterns that may inform strategies to improve dispatch taxi business.
It is not practical to manually clean and filter large-scale mobility data that contains GPS information.
Therefore, this research contributes and demonstrates an automated method of data cleaning and filtering that is suitable for such types of datasets.
The cleaning method defines three filter variables and applies a layered statistical filtering technique to eliminate outlier records that do not contribute to distributions that match expected theoretical distributions of the variables.
Chi-squared statistical tests evaluate the quality of the cleaned data by comparing the distribution of the three variables with their expected distributions.
The overall cleaning method removed approximately 5% of the data, which consisted of errors that were obvious and others that were poor quality outliers.
Subsequently, mining the cleaned data revealed that trip production in Dubai peaks for the case when only the same two drivers operate the same taxi.
This finding would not have been possible without access to proprietary data that contains unique identifiers for both drivers and taxis.
Datasets that identify individual drivers are not publicly available.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Bridgelall, Raj& Lu, Pan& Tolliver, Denver& Xu, Tai. 2018. Mining Connected Vehicle Data for Beneficial Patterns in Dubai Taxi Operations. Journal of Advanced Transportation،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1181815
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Bridgelall, Raj…[et al.]. Mining Connected Vehicle Data for Beneficial Patterns in Dubai Taxi Operations. Journal of Advanced Transportation No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1181815
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Bridgelall, Raj& Lu, Pan& Tolliver, Denver& Xu, Tai. Mining Connected Vehicle Data for Beneficial Patterns in Dubai Taxi Operations. Journal of Advanced Transportation. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1181815
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1181815
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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