A queue length estimation and prediction model for long freeway off-ramps-Reference-Cited by-同舟云学术

A queue length estimation and prediction model for long freeway off-ramps

Published:2020-11-17 Issue:1 Volume:25 Page:122-134
ISSN:1547-2450
Container-title:Journal of Intelligent Transportation Systems
language:en
Short-container-title:Journal of Intelligent Transportation Systems

Author:

Heshami Seiran¹,Kattan Lina¹^ORCID

Affiliation:

1. Department of Civil Engineering, University of Calgary, Calgary, Canada

Funder

the Urban Alliance Professorship Fund from the City of Calgary

the Alberta Motor Association – Alberta Ingenuity Technology Future (AMA-AITF) Collaborative Grant in Smart Multimodal Transportation Systems

Publisher

Informa UK Limited

Subject

Applied Mathematics,Computer Science Applications,Aerospace Engineering,Automotive Engineering,Information Systems,Software,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15472450.2020.1846125

Reference48 articles.

1. Real-time queue length estimation using event-based advance detector data

2. Queue length estimation using conventional vehicle detector and probe vehicle data

3. Real time queue length estimation for signalized intersections using travel times from mobile sensors

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1. Study of Urban Arterial Road Off-Ramp Configuration in Highway Municipal Reconstruction;Transportation Research Record: Journal of the Transportation Research Board;2024-05-09

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4. A New Framework for Regional Traffic Volumes Estimation with Large-Scale Connected Vehicle Data and Deep Learning Method;Journal of Transportation Engineering, Part A: Systems;2023-04

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