Predicting Freeway Work Zone Delays and Costs with a Hybrid Machine-Learning Model

المؤلفون المشاركون

Lee, Joyoung
Du, Bo
Chien, Steven I.
Spasovic, Lazar

المصدر

Journal of Advanced Transportation

العدد

المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-8، 8ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2017-08-07

دولة النشر

مصر

عدد الصفحات

8

التخصصات الرئيسية

هندسة مدنية

الملخص EN

A hybrid machine-learning model, integrating an artificial neural network (ANN) and a support vector machine (SVM) model, is developed to predict spatiotemporal delays, subject to road geometry, number of lane closures, and work zone duration in different periods of a day and in the days of a week.

The model is very user friendly, allowing the least inputs from the users.

With that the delays caused by a work zone on any location of a New Jersey freeway can be predicted.

To this end, tremendous amounts of data from different sources were collected to establish the relationship between the model inputs and outputs.

A comparative analysis was conducted, and results indicate that the proposed model outperforms others in terms of the least root mean square error (RMSE).

The proposed hybrid model can be used to calculate contractor penalty in terms of cost overruns as well as incentive reward schedule in case of early work competition.

Additionally, it can assist work zone planners in determining the best start and end times of a work zone for developing and evaluating traffic mitigation and management plans.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Du, Bo& Chien, Steven I.& Lee, Joyoung& Spasovic, Lazar. 2017. Predicting Freeway Work Zone Delays and Costs with a Hybrid Machine-Learning Model. Journal of Advanced Transportation،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1170913

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Du, Bo…[et al.]. Predicting Freeway Work Zone Delays and Costs with a Hybrid Machine-Learning Model. Journal of Advanced Transportation No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1170913

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Du, Bo& Chien, Steven I.& Lee, Joyoung& Spasovic, Lazar. Predicting Freeway Work Zone Delays and Costs with a Hybrid Machine-Learning Model. Journal of Advanced Transportation. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1170913

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1170913