Second-based queue length estimation with fusing MMW and low penetration rate CAV trajectory data

Author:

He Shuxian1,Du Yuhao1,Li Jiangchen2,Peng Liqun3,Qiu Tony Z.14,Zhang Yi1,Zhang Jianhua15

Affiliation:

1. Intelligent Transportation Systems Research Center, Wuhan University of Technology, Wuhan, China

2. Nanjing University of Aeronautics and Astronautics, Nanjing, China

3. School of Transportation Engineering, East China Jiaotong University, Nanchang, China

4. Universtiy of Alberta, Edmonton, Canada

5. Wuhan Public Security Bureau Traffic Management Bureau Science and Technology Management Department, Wuhan, China

Funder

National Natural Science Foundation of China

Jiangxi Provincial Natural Science Foundation

Publisher

Informa UK Limited

Reference36 articles.

1. Amini, Z., R. Pedarsani, A. Skabardonis, and P. Varaiya. 2016. “Queue-length estimation using real-time traffic data.” IEEE 19th International Conference on Intelligent Transportation Systems (ITSC).

2. Dynamical Systems Approach for Queue and Delay Estimation at Signalized Intersections Under Mixed Traffic Conditions;Anusha S. P.;Transportation Letters The International Journal of Transportation Research,2021

3. A Shockwave Approach to Estimating Queue Length at Signalized Intersections by Fusing Data of Point and Mobile Sensors;Cai Q.;Journal of Jilin University (Engineering and Technology Edition),2014

4. Simple Methodology for Estimating Queue Lengths at Signalized Intersections Using Detector Data

5. Cycle-by-Cycle Queue Length Estimation for Signalized Intersections Using Sampled Trajectory Data

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