Meead Saberi

Orcid: 0000-0002-6526-239X

According to our database1, Meead Saberi authored at least 23 papers between 2014 and 2024.

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

Timeline

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Bibliography

2024
Simulation-Based Robust and Adaptive Optimization Method for Heteroscedastic Transportation Problems.
Transp. Sci., 2024

Evaluating the effects of Data Sparsity on the Link-level Bicycling Volume Estimation: A Graph Convolutional Neural Network Approach.
CoRR, 2024

Modeling Large-Scale Walking and Cycling Networks: A Machine Learning Approach Using Mobile Phone and Crowdsourced Data.
CoRR, 2024

2021
Detection of anomalous vehicles using physics of traffic.
Veh. Commun., 2021

An Open GMNS Dataset of a Dynamic Multi-Modal Transportation Network Model of Melbourne, Australia.
Data, 2021

Multimodal urban mobility and multilayer transport networks.
CoRR, 2021

Vaccine allocation policy optimization and budget sharing mechanism using Thompson sampling.
CoRR, 2021

A macro-micro approach to modeling parking.
CoRR, 2021

2020
Traffic Assignment Problem for Pedestrian Networks.
CoRR, 2020

Simulation-based Optimization of Toll Pricing in Large-Scale Urban Networks using the Network Fundamental Diagram: A Cross-Comparison of Methods.
CoRR, 2020

Joint routing and pricing control of autonomous vehicles in mixed equilibrium simulation-based dynamic traffic assignment.
CoRR, 2020

2019
A simple contagion process describes spreading of traffic jams in urban networks.
CoRR, 2019

Optimal distance- and time-dependent area-based pricing with the Network Fundamental Diagram.
CoRR, 2019

Effects of Turning and Merging on Network Traffic Instability: A Simulation-Based Analysis of Human-Driven and Autonomous Vehicles.
CoRR, 2019

Surrogate-based toll optimization in a large-scale heterogeneously congested network.
Comput. Aided Civ. Infrastructure Eng., 2019

Anomalous Data Detection in Vehicular Networks Using Traffic Flow Theory.
Proceedings of the 90th IEEE Vehicular Technology Conference, 2019

Nonlinearity in Time-Dependent Origin-Destination Demand Estimation in Congested Networks.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

A Simulation-Based Optimization Framework for Urban Congestion Pricing Considering Travelers' Departure Time Rescheduling.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018
Calibration and validation of a simulation-based dynamic traffic assignment model for a large-scale congested network.
Simul. Model. Pract. Theory, 2018

2016
Application of an exact gradient method to estimate dynamic origin-destination demand for melbourne network.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

Calibration of traffic flow fundamental diagrams for network simulation applications: A two-stage clustering approach.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

A solution to the road network design problem for multimodal flow.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

2014
Network capacity, traffic instability, and adaptive driving: findings from simulated urban network experiments.
EURO J. Transp. Logist., 2014


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