Extracting Origin-Destination with Vehicle Trajectory Data and Applying to Coordinated Ramp Metering
المؤلفون المشاركون
Yang, Xiaoguang
Zhang, Cheng
Lai, Jintao
Su, Yuelong
Dong, Zhenning
Wang, Jiawen
المصدر
Journal of Advanced Transportation
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-15، 15ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-07-08
دولة النشر
مصر
عدد الصفحات
15
التخصصات الرئيسية
الملخص EN
Ramp metering is an effective measure to alleviate freeway congestion.
Traditional methods were mostly based on fixed-sensor data, by which origin-destination (OD) patterns cannot be directly collected.
Nowadays, trajectory data are available to track vehicle movements.
OD patterns can be estimated with weaker assumptions and hence closer to reality.
Ramp metering can be improved with this advantage.
This paper extracts OD patterns with historical trajectory data.
A validation test is proposed to guarantee the sample representativeness of vehicle trajectories and then implement coordinated ramp metering based on the contribution of on-ramp traffic to downstream bottleneck sections.
The contribution is determined by the OD patterns.
Simulation experiments are conducted under real-life scenarios.
Results show that ramp metering with trajectory data increases the throughput by another 4% compared with traditional fixed-sensor data.
The advantage is more significant under heavier traffic demand, where traditional control can hardly relieve the situation; in contrast, our control manages to make congestion dissipate earlier and even prevent its forming in some sections.
Penetration of trajectory data influences control effects.
The minimum required penetration of 4.0% is determined by a t-test and the Pearson correlation coefficient.
When penetration is less than the minimum, the correlation between the estimation and the truth significantly drops, OD estimation tends to be unreliable, and control performance becomes more sensitive.
The proposed approach is effective in recurrent freeway congestion with steady OD patterns.
It is ready for practice and the analysis supports the real-world application.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhang, Cheng& Wang, Jiawen& Lai, Jintao& Yang, Xiaoguang& Su, Yuelong& Dong, Zhenning. 2019. Extracting Origin-Destination with Vehicle Trajectory Data and Applying to Coordinated Ramp Metering. Journal of Advanced Transportation،Vol. 2019, no. 2019, pp.1-15.
https://search.emarefa.net/detail/BIM-1170173
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhang, Cheng…[et al.]. Extracting Origin-Destination with Vehicle Trajectory Data and Applying to Coordinated Ramp Metering. Journal of Advanced Transportation No. 2019 (2019), pp.1-15.
https://search.emarefa.net/detail/BIM-1170173
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhang, Cheng& Wang, Jiawen& Lai, Jintao& Yang, Xiaoguang& Su, Yuelong& Dong, Zhenning. Extracting Origin-Destination with Vehicle Trajectory Data and Applying to Coordinated Ramp Metering. Journal of Advanced Transportation. 2019. Vol. 2019, no. 2019, pp.1-15.
https://search.emarefa.net/detail/BIM-1170173
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1170173
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