Signalized arterial origin-destination flow estimation using flawed vehicle trajectories: A self-supervised learning approach without ground truth-Reference-Cited by-同舟云学术

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Signalized arterial origin-destination flow estimation using flawed vehicle trajectories: A self-supervised learning approach without ground truth

Published:2022-12 Issue: Volume:145 Page:103917
ISSN:0968-090X
Container-title:Transportation Research Part C: Emerging Technologies
language:en
Short-container-title:Transportation Research Part C: Emerging Technologies

Author:

Wang Qinzheng,Yuan Yun,Zhang Qiwei,Yang Xianfeng Terry

Funder

National Science Foundation

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference73 articles.

1. Dynamic origin-destination demand estimation using turning movementcounts;Alibabai;Transportation research record,2008

2. Incorporating automated vehicle identification data into origin-destination estimation;Antoniou;Transportation Research Record,2004

3. Arterial progression optimization using OD-BAND: case study and extensions;Arsava;Transportation Research Record,2016

4. Origin-destination matrices estimation model using automatic vehicle identification data and its application to the han-shin expressway network;Asakura;Transportation,2000

5. Estimation and prediction of time-dependent origin-destination ows with a stochastic mapping to path ows and link ows;Ashok;Transportation science,2002

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1. Impact of Traffic Flow Rate on the Accuracy of Short-Term Prediction of Origin-Destination Matrix in Urban Transportation Networks;Remote Sensing;2024-03-29

2. Traffic Origin-Destination Flow-Inspired Dynamic Urban Arterial Partition for Coordinated Signal Control Using Automatic License Plate Recognition Data;IEEE Intelligent Transportation Systems Magazine;2024-01

3. Attention-based LSTM predictive model for the attitude and position of shield machine in tunneling;Underground Space;2023-12

4. Effects of Dynamic User-optimal Routing on Network-level Signal Predictive Control;2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC);2023-09-24

5. Residual Neural Networks for Origin–Destination Trip Matrix Estimation from Traffic Sensor Information;Sustainability;2023-06-21

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