Jam density and stopbar location estimation with trajectory data at signalized intersections-Reference-Cited by-同舟云学术

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Jam density and stopbar location estimation with trajectory data at signalized intersections

Published:2023-07 Issue: Volume:173 Page:162-175
ISSN:0191-2615
Container-title:Transportation Research Part B: Methodological
language:en
Short-container-title:Transportation Research Part B: Methodological

Author:

Lloret-Batlle Roger^ORCID,Zheng Jianfeng

Publisher

Elsevier BV

Subject

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

Reference30 articles.

1. Kalman Filter-based Vehicle Count Estimation Approach Using Probe Data: A Multi-lane Road Case Study;Aljamal,2019

2. Lane Detection and Lane-Changing Identification with High-Resolution Data from a Swarm of Drones;Barmpounakis;Transp. Res. Rec.,2020

3. Probabilistic modeling of traffic lanes from GPS traces;Chen,2010

4. Traffic State Estimation Based on Kalman Filter Technique using Connected Vehicle V2V Basic Safety Messages;Chen,2019

5. A simplicial homology algorithm for Lipschitz optimisation;Endres;J. Global Optim.,2018

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Pattern diversity based trip-level impact evaluation on mileage and emissions of on-demand ride-splitting;Transportation Research Part C: Emerging Technologies;2024-05

2. Evaluation of the Severity of Deadlock at a Signalized Intersection with Auxiliary Lanes Using Trajectory Data;Transportation Research Record: Journal of the Transportation Research Board;2024-04-17

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