Real-Time Prediction of Lane-Based Delay Using Incremental Queue Accumulation
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 145, Issue 12
Abstract
Using a real-time prediction model of lane-based queue lengths, the authors predicted the lane-based delay using real-time prediction of the incremental queue accumulation (IQA), which can effectively overcome the difficulty of field data collection when using the IQA to calculate the delay. The authors used the Lighthill–Whitham–Richards (LWR) shockwave theory to analyze the IQA changes under different shockwaves. The proposed model was divided into underflow and overflow cases to illustrate the variation of the IQA when a residual queue exists. Two types of delay formulas were considered regarding the effects of the signal offset: coordinated lane and noncoordinated lane delays. The model was tested in a field experiment and compared with the Webster model and the Highway Capacity Manual IQA model, and the results showed that the model has satisfactory accuracy and strong robustness.
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Acknowledgments
This work was supported by the National Natural Science Foundation of China (Grant No. 61364019); and the Key Laboratory of Urban ITS Technology Optimization and Integration Ministry of Public Security of China (Grant No. 2017KFKT04).
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©2019 American Society of Civil Engineers.
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Received: Nov 29, 2018
Accepted: Apr 9, 2019
Published online: Sep 28, 2019
Published in print: Dec 1, 2019
Discussion open until: Feb 28, 2020
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