Temporal Backtracking and Multistep Delay of Traffic Speed Series Prediction

المؤلفون المشاركون

Qu, Licheng
Zhang, Minghao
Li, Zhaolu
Li, Wei

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

2020-12-11

دولة النشر

مصر

عدد الصفحات

13

التخصصات الرئيسية

هندسة مدنية

الملخص EN

As a typical time series, the length of the data sequence is critical to the accuracy of traffic state prediction.

In order to fully explore the causality between traffic data, this study established a temporal backtracking and multistep delay model based on recurrent neural networks (RNNs) to learn and extract the long- and short-term dependencies of the traffic state data.

With a real traffic data set, the coordinate descent algorithm was employed to search and determine the optimal backtracking length of traffic sequence, and multistep delay predictions were performed to demonstrate the relationship between delay steps and prediction accuracies.

Besides, the performances were compared between three variants of RNNs (LSTM, GRU, and BiLSTM) and 6 frequently used models, which are decision tree (DT), support vector machine (SVM), k-nearest neighbour (KNN), random forest (RF), gradient boosting decision tree (GBDT), and stacked autoencoder (SAE).

The prediction results of 10 consecutive delay steps suggest that the accuracies of RNNs are far superior to those of other models because of the more powerful and accurate pattern representing ability in time series.

It is also proved that RNNs can learn and mine longer time dependencies.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Qu, Licheng& Zhang, Minghao& Li, Zhaolu& Li, Wei. 2020. Temporal Backtracking and Multistep Delay of Traffic Speed Series Prediction. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1181013

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Qu, Licheng…[et al.]. Temporal Backtracking and Multistep Delay of Traffic Speed Series Prediction. Journal of Advanced Transportation No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1181013

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Qu, Licheng& Zhang, Minghao& Li, Zhaolu& Li, Wei. Temporal Backtracking and Multistep Delay of Traffic Speed Series Prediction. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1181013

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1181013