Sajjad Shafiei
Sajjad Shafiei
Data61|CSIRO
Verified email at data61.csiro.au
Title
Cited by
Cited by
Year
Optimal distance-and time-dependent area-based pricing with the Network Fundamental Diagram
Z Gu, S Shafiei, Z Liu, M Saberi
Transportation Research Part C: Emerging Technologies 95, 1-28, 2018
512018
Calibration and validation of a simulation-based dynamic traffic assignment model for a large-scale congested network
S Shafiei, Z Gu, M Saberi
Simulation Modelling Practice and Theory 86, 169-186, 2018
362018
Macroscopic dynamics and the collapse of urban traffic
LE Olmos, S Çolak, S Shafiei, M Saberi, MC González
Proceedings of the National Academy of Sciences 115 (50), 12654-12661, 2018
282018
A simple contagion process describes spreading of traffic jams in urban networks
M Saberi, H Hamedmoghadam, M Ashfaq, SA Hosseini, Z Gu, S Shafiei, ...
Nature Communications 11 (1), 1-9, 2020
242020
Sensitivity-Based Linear Approximation Method to Estimate Time-Dependent Origin–Destination Demand in Congested Networks
S Shafiei, M Saberi, A Zockaie, M Sarvi
Transportation Research Record 2669 (1), 72-79, 2017
132017
Estimating time-dependent origin–destination demand from traffic counts: extended gradient method
M Shafiei, M Nazemi, S Seyedabrishami
Transportation Letters 7 (4), 210-218, 2015
122015
Application of an exact gradient method to estimate dynamic origin-destination demand for melbourne network
S Shafiei, M Saberi, M Sarvi
2016 IEEE 19th International Conference on Intelligent Transportation …, 2016
72016
Deployment and Calibration of a Large-Scale Mesoscopic Dynamic Traffic Assignment Model of Melbourne, Australia
S Shafiei, Z Gu, M Sarvi, M Saberi
96th Annual Meeting Transportation Research Board. Washington, DC, 2017
62017
Off-line calibration of a macroscopic dynamic traffic assignment model: iterative demand-supply parameters estimation
S Seyedabrishami, M Nazemi, M Shafiei
17th International IEEE Conference on Intelligent Transportation Systems …, 2014
42014
Integration of Departure Time Choice Modeling and Dynamic Origin–Destination Demand Estimation in a Large-Scale Network
S Shafiei, M Saberi, HL Vu
Transportation Research Record 2674 (9), 972-981, 2020
32020
Nonlinearity in Time-Dependent Origin-Destination Demand Estimation in Congested Networks
S Shafiei, M Saberi, HL Vu
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 3892-3897, 2019
22019
Simultaneous Estimation of Dynamic Origin–Destination Demand and Traffic Signal Timing
S Shafiei, M Saberi
Transportation Research Board 97th Annual MeetingTransportation Research Board, 2018
22018
Methodological Comparison of Models of Vehicle Kilometers Traveled
S Shafiei, M Nazemi, M Saberi
Transportation Research Board 96th Annual MeetingTransportation Research Board, 2017
12017
Integrating data-driven and simulation models to predict traffic state affected by road incidents
S Shafiei, AS Mihăiţă, H Nguyen, C Cai
Transportation Letters, 1-11, 2021
2021
An Open GMNS Dataset of a Dynamic Multi-modal Transportation Network Model of Melbourne, Australia
F Nourmohammadi, M Mansourianfar, S Shafiei, Z Gu, M Saberi
Data 6 (2), 21, 2021
2021
Trip Table Estimation and Prediction for Dynamic Traffic Assignment Applications
S Shafiei, AS Mihaita, C Cai
26th ITS World Congress 2019, Singapore, 2019
2019
Estimating Time-Dependent Origin-Destination Demand in a Large-Scale Congested Network Using Multi-Source Traffic Data
MS SHAFIEI
Monash University, 0
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