Real-Time Movement-Based Traffic Volume Prediction at Signalized Intersections

Author:

Li Wan1,Ban Xuegang “Jeff”2ORCID,Zheng Jianfeng3,Liu Henry X.4,Gong Cheng5,Li Yong6

Affiliation:

1. Research Associate, Energy and Transportation Science Division, Oak Ridge National Laboratory, 2360 Cherahala Blvd., Knoxville, TN 37932.

2. Associate Professor, Dept. of Civil and Environmental Engineering, Univ. of Washington, 121G More Hall, Seattle, WA 98195 (corresponding author). ORCID: .

3. Senior Algorithm Engineer, Didi Chuxing, 10 Xibeiwang Rd., Haidian District, Beijing 100094, China.

4. Professor, Dept. of Civil and Environmental Engineering, Univ. of Michigan, Ann Arbor, MI 48109.

5. Senior Research Program Manager, Didi Chuxing, 10 Xibeiwang Rd., Haidian District, Beijing 100094, China.

6. Director of Intelligent Transportation, Dept. of Traffic Police, Jinan Public Security Bureau, 6897 2nd Rd. E, Lixia District, Jinan, Shandong 250014, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Reference41 articles.

1. Abadi M. P. Barham J. Chen Z. Chen A. Davis J. Dean and M. Kudlur. 2016. “Tensorflow: A system for large-scale machine learning.” In Proc. 12th Symp. on Operating Systems Design and Implementation 265–283. Berkeley CA: USENIX.

2. Analysis of freeway traffic time-series data by using Box-Jenkins techniques;Ahmed M. S.;Transport. Res. Rec.,1979

3. Dynamic near-term traffic flow prediction: system-oriented approach based on past experiences

4. Traffic predictive control from low-rank structure;Coogan S.;Transp. Res. Part B: Methodol.,2017

5. High-order graph convolutional recurrent neural network: A deep learning framework for network-scale traffic learning and forecasting;Cui Z.;IEEE Trans. Intell. Transp. Syst.,2019

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