Fuzing multiple erroneous sensors to estimate travel time-Reference-Cited by-同舟云学术

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Fuzing multiple erroneous sensors to estimate travel time

Published:2024-02-13 Issue: Volume: Page:1-14
ISSN:1547-2450
Container-title:Journal of Intelligent Transportation Systems
language:en
Short-container-title:Journal of Intelligent Transportation Systems

Author:

Banani Ardecani Fatemeh¹,Mahmoudzadeh Ahmadreza²^ORCID,Mesbah Mahmoud³⁴

Affiliation:

1. Department of Civil engineering, The University of North Carolina at Charlotte, NC Charlotte, USA

2. Ford Motor Company, Global Data Insight & Analytics, Dearborn, MI, USA

3. Department of Civil and Environmental Engineering, Amirkabir University of Technology, Tehran, Iran

4. School of Civil Engineering, The University of Queensland, Brisbane, Australia

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/15472450.2024.2315514

Reference27 articles.

1. Detection of urban traffic patterns from Floating Car Data (FCD)

2. Data Fusion-Based Traffic Density Estimation and Prediction

3. Bachmann C. (2011). Multi-sensor data fusion for traffic speed and travel time estimation. C. Bachmann

4. Fusing a Bluetooth Traffic Monitoring System With Loop Detector Data for Improved Freeway Traffic Speed Estimation

5. Evaluation of a cellular phone-based system for measurements of traffic speeds and travel times: A case study from Israel

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. Evaluating the Effect of Multiple Data Types on a Large Scale Static Origin–Destination Matrix Estimation, Case Study of Tehran, Iran;Iranian Journal of Science and Technology, Transactions of Civil Engineering;2024-05-28

2. Reliability Analysis of Horizontal Curves Using Geometric Design Consistency Assessment Criterion;Journal of Advanced Transportation;2024-01

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