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GPS Data in Urban Online Car-Hailing: Simulation on Optimization and Prediction in Reducing Void Cruising Distance
المؤلفون المشاركون
Yu, Qing
Wang, Yuxuan
Chen, Jinyu
Xu, Ning
Li, Wenjing
Song, Xuan
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-11-25
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص EN
Ride-hailing, as a popular shared-transportation method, has been operated in many areas all over the world.
Researchers conducted various researches based on global cases.
They argued on whether car-hailing is an effective travel mode for emission reduction and drew different conclusions.
The detailed emission performance of the ride-hailing system depends on the cases.
Therefore, there is an urgent demand to reduce the overall picking up distance during the dispatch.
In this study, we try to satisfy this demand by proposing an optimization method combined with a prediction model to minimize the global void cruising distance when solving the dispatch problem.
We use Didi ride-hailing data on one day for simulation and found that our method can reduce the picking up distance by 7.51% compared with the baseline greedy algorithm.
The proposed algorithm additionally makes the average waiting time of passengers more than 4 minutes shorter.
The statistical results also show that the performance of our method is stable.
Almost the metric in all cases can be kept in a low interval.
What is more, we did a day-to-day comparison.
We found that, despite the different spatial-temporal distribution of orders and drivers on different day conditions, there are little differences in the performance of the method.
We also provide temporal analysis on the changing pattern of void cruising distance and quantity of orders on weekdays and weekends.
Our findings show that our method can averagely reduce more void cruising distance when ride-hailing is active compared with the traditional greedy algorithm.
The result also shows that the method can stably reduce void cruising distance by about 4000 to 5000 m per order across one day.
We believe that our findings can improve deeper insight into the mechanism of the ride-hailing system and contribute to further studies.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wang, Yuxuan& Chen, Jinyu& Xu, Ning& Li, Wenjing& Yu, Qing& Song, Xuan. 2020. GPS Data in Urban Online Car-Hailing: Simulation on Optimization and Prediction in Reducing Void Cruising Distance. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1197388
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wang, Yuxuan…[et al.]. GPS Data in Urban Online Car-Hailing: Simulation on Optimization and Prediction in Reducing Void Cruising Distance. Mathematical Problems in Engineering No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1197388
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wang, Yuxuan& Chen, Jinyu& Xu, Ning& Li, Wenjing& Yu, Qing& Song, Xuan. GPS Data in Urban Online Car-Hailing: Simulation on Optimization and Prediction in Reducing Void Cruising Distance. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1197388
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1197388
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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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
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