Saiedeh Navabzadeh Razavi

Orcid: 0000-0002-5971-3609

Affiliations:
  • McMaster University, Department of Civil Engineering, Hamilton, Canada


According to our database1, Saiedeh Navabzadeh Razavi authored at least 26 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Cycle Maximum Queue Length Estimation: An Integrated Deep Learning and Adaptive Neuro-Fuzzy Inference System Framework.
IEEE Access, 2024

2023
Edge Video Analytics: A Survey on Applications, Systems and Enabling Techniques.
IEEE Commun. Surv. Tutorials, 2023

2022
Fault-Tolerant Control of Variable Speed Limits for Freeway Work Zone With Recurrent Sensor Faults.
IEEE Trans. Intell. Transp. Syst., 2022

Deep Learning-Driven Edge Video Analytics: A Survey.
CoRR, 2022

2020
Policy Analysis of Adaptive Traffic Signal Control Using Reinforcement Learning.
J. Comput. Civ. Eng., 2020

Fault-tolerant control of variable speed limits for freeway work zone using likelihood estimation.
Adv. Eng. Informatics, 2020

2019
Asynchronous n-step Q-learning adaptive traffic signal control.
J. Intell. Transp. Syst., 2019

Variable Speed Limit for Freeway Work Zone with Capacity Drop Using Discrete-Time Sliding Mode Control.
J. Comput. Civ. Eng., 2019

An Open-Source Framework for Adaptive Traffic Signal Control.
CoRR, 2019

2018
Traffic capacity implications of automated vehicles mixed with regular vehicles.
J. Intell. Transp. Syst., 2018

Spatiotemporal Network-Based Model for Dynamic Risk Analysis on Struck-by-Equipment Hazard.
J. Comput. Civ. Eng., 2018

Fault-Tolerant Variable Speed Limit Control for Freeway Work Zone.
Proceedings of the 26th International Workshop on Intelligent Computing in Engineering, 2018

Evaluating reinforcement learning state representations for adaptive traffic signal control.
Proceedings of the 9th International Conference on Ambient Systems, 2018

2017
Optimizing the number and locations of freeway roadside equipment units for travel time estimation in a connected vehicle environment.
J. Intell. Transp. Syst., 2017

2016
Assessing the Potential Impacts of Connected Vehicles: Mobility, Environmental, and Safety Perspectives.
J. Intell. Transp. Syst., 2016

Two 4D Models Effective in Reducing False Alarms for Struck-by-Equipment Hazard Prevention.
J. Comput. Civ. Eng., 2016

Low False Alarm Rate Model for Unsafe-Proximity Detection in Construction.
J. Comput. Civ. Eng., 2016

Impact of Connected Vehicle on Work Zone Network Safety through Dynamic Route Guidance.
J. Comput. Civ. Eng., 2016

Using a Deep Reinforcement Learning Agent for Traffic Signal Control.
CoRR, 2016

2015
Battery characterization and state-of-charge prediction for different journey conditions with the help of the "journey mapping" concept.
Proceedings of the IECON 2015, 2015

2013
Corrigendum to 'Multisensor data fusion: A review of the state-of-the-art' [Information Fusion 14 (1) (2013) 28-44].
Inf. Fusion, 2013

Multisensor data fusion: A review of the state-of-the-art.
Inf. Fusion, 2013

2012
Reliability-Based Hybrid Data Fusion Method for Adaptive Location Estimation in Construction.
J. Comput. Civ. Eng., 2012

Dislocation detection in field environments: A belief functions contribution.
Expert Syst. Appl., 2012

2009
Real world implementation of belief function theory to detect dislocation of materials in construction.
Proceedings of the 12th International Conference on Information Fusion, 2009

2007
Locating sensor nodes on construction projects.
Auton. Robots, 2007


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