Predicting Freeway Work Zone Capacity Distribution Based on Logistic Speed-Density Models

المؤلفون المشاركون

Dong, Jing
Lu, Chaoru
Sharma, Anuj
Huang, Tingting
Knickerbocker, Skylar

المصدر

Journal of Advanced Transportation

العدد

المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-15، 15ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2018-11-01

دولة النشر

مصر

عدد الصفحات

15

التخصصات الرئيسية

هندسة مدنية

الملخص EN

Speed-volume-density relationship and capacity are key elements in modelling traffic operations, designing roadways, and evaluating facility performance.

This paper uses a modified five-parameter logistic model to describe the speed-density relationship.

The calibrated speed-density models show that the stop-and-go speed (Vb) and shape parameters (θ1 and θ2) are similar for work zones and the nonwork zone site.

Accordingly, an operational capacity prediction method is proposed.

To demonstrate the effectiveness of the proposed method, the predicted operational capacities are compared with the field data, Highway Capacity Manual method, the output of WorkZoneQ software, and the ensemble tree approach under different work zone scenarios.

Furthermore, a lifetime distribution prediction framework for stochastic capacity of work zones is proposed.

The predicted lifetime distribution can well capture the tendency of the observed work zone capacities.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Lu, Chaoru& Dong, Jing& Sharma, Anuj& Huang, Tingting& Knickerbocker, Skylar. 2018. Predicting Freeway Work Zone Capacity Distribution Based on Logistic Speed-Density Models. Journal of Advanced Transportation،Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1181899

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Lu, Chaoru…[et al.]. Predicting Freeway Work Zone Capacity Distribution Based on Logistic Speed-Density Models. Journal of Advanced Transportation No. 2018 (2018), pp.1-15.
https://search.emarefa.net/detail/BIM-1181899

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Lu, Chaoru& Dong, Jing& Sharma, Anuj& Huang, Tingting& Knickerbocker, Skylar. Predicting Freeway Work Zone Capacity Distribution Based on Logistic Speed-Density Models. Journal of Advanced Transportation. 2018. Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1181899

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1181899