Freeway Traffic Speed Estimation of Mixed Traffic Using Data from Connected and Autonomous Vehicles with a Low Penetration Rate
المؤلفون المشاركون
Guo, Xiaoyu
Qi, Yong
Ding, Fan
Chen, Tao
He, Shanglu
المصدر
Journal of Advanced Transportation
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-06-13
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
Connected and autonomous vehicles (CAVs) are on the way to the field application.
In the beginning stage, there will be a mixed traffic flow, containing the regular human-driven vehicles and CAVs with a low penetration rate.
Recently, the discussion about the impact of a small proportion of CAVs in the mixed traffic is controversial.
This paper investigated the possibility of applying the limited data from these lowly penetrated CAVs to estimate the average freeway link speeds based on the Kalman filtering (KF) method.
First, this paper established a VISSIM-based microsimulation model to mimic the mixed traffic with different CAV penetration rates.
The characteristics of this mixed traffic were then discussed based on the simulation data, including the sample size distribution, data-missing rate, speed difference, and fundamental diagram.
Accordingly, the traditional KF-based method was introduced and modified to adapt data from CAVs.
Finally, the evaluations of the estimation accuracy and the sensitive analysis of the proposed method were conducted.
The results revealed the possibility and applicability of link speed estimation using data from a small proportion of CAVs.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
He, Shanglu& Guo, Xiaoyu& Ding, Fan& Qi, Yong& Chen, Tao. 2020. Freeway Traffic Speed Estimation of Mixed Traffic Using Data from Connected and Autonomous Vehicles with a Low Penetration Rate. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1175321
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
He, Shanglu…[et al.]. Freeway Traffic Speed Estimation of Mixed Traffic Using Data from Connected and Autonomous Vehicles with a Low Penetration Rate. Journal of Advanced Transportation No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1175321
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
He, Shanglu& Guo, Xiaoyu& Ding, Fan& Qi, Yong& Chen, Tao. Freeway Traffic Speed Estimation of Mixed Traffic Using Data from Connected and Autonomous Vehicles with a Low Penetration Rate. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1175321
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1175321
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