Estimating Traffic Flow Rate on Freeways from Probe Vehicle Data and Fundamental Diagram-Reference-Cited by-同舟云学术

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Estimating Traffic Flow Rate on Freeways from Probe Vehicle Data and Fundamental Diagram

Published:2015-09 Issue: Volume: Page:
ISSN:
Container-title:2015 IEEE 18th International Conference on Intelligent Transportation Systems
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Author:

Anuar Khairul,Habtemichael Filmon,Cetin Mecit

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7307301/7312804/07313561.pdf?arnumber=7313561

Cited by 22 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. Close Look into the Spatial-Temporal Distribution of Speed, Lane Changes, and Heavy Vehicles in a Congested Freeway Weaving Section;Transportation Research Record: Journal of the Transportation Research Board;2024-07-27

2. Impact of lockdown policies on urban traffic conditions and carbon dioxide emissions based on an emission model on the link level in hour granularity;Journal of Cleaner Production;2024-01

3. On the Fundamental Diagram for Freeway Traffic: Exploring the Lower Bound of the Fitting Error and Correcting the Generalized Linear Regression Models;Mathematics;2023-08-09

4. Inferring the number of vehicles between trajectory-observed vehicles;Journal of Intelligent Transportation Systems;2023-07-12

5. FitFun: A modelling framework for successfully capturing the functional form and noise of observed traffic flow–density–speed relationships;Transportation Research Part C: Emerging Technologies;2023-06

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