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Dr Saeed Mohammadian
Dr

Saeed Mohammadian

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Overview

Background

Dr. Saeed Mohammadian is a postdoctoral research fellow in Transport Engineering. His primary research is on understanding freeway traffic flow dynamics and their safety implication with a special focus on the role of human factors. As part of his doctoral work, he has conducted critical meta-research on the state-of-the-art of macroscopic traffic flow modelling, from both theoretical and practical perspectives. The central part of his doctoral thesis develops unifiable mathematical models of traffic flow dynamics and rear-end crashes and presents new insight into the role of human factors on complex traffic phenomena and traffic safety.

His main work at UQ involves conducting research on driver interactions with connected and automated vehicles and studying the implications for both congestions and crashes. He is currently involved in several research projects related to freeway traffic flow modelling and control and safety assessment. His research outcomes can be explicitly utilized in traffic control research for moving towards faster and safer roads.

Availability

Dr Saeed Mohammadian is:
Available for supervision

Qualifications

  • Doctoral (Research) of Transport Engineering, Civil and Environmental engineering

Research interests

  • Meta-research on traffic flow theory

  • Car-following and continuum modelling of traffic flow

  • Conflict-based crash risk modelling and traffic safety assessment

  • Numerical methods for hyperbolic systems of partial differential equations

  • Driver interactions with connected and automated vehicles

Works

Search Professor Saeed Mohammadian’s works on UQ eSpace

8 works between 2018 and 2023

1 - 8 of 8 works

2023

Journal Article

Continuum modeling of freeway traffic flows: state-of-the-art, challenges and future directions in the era of connected and automated vehicles

Mohammadian, Saeed, Zheng, Zuduo, Haque, Md. Mazharul and Bhaskar, Ashish (2023). Continuum modeling of freeway traffic flows: state-of-the-art, challenges and future directions in the era of connected and automated vehicles. Communications in Transportation Research, 3 100107, 1-25. doi: 10.1016/j.commtr.2023.100107

Continuum modeling of freeway traffic flows: state-of-the-art, challenges and future directions in the era of connected and automated vehicles

2023

Journal Article

NET-RAT: Non-equilibrium traffic model based on risk allostasis theory

Mohammadian, Saeed, Zheng, Zuduo, Haque, Mazharul and Bhaskar, Ashish (2023). NET-RAT: Non-equilibrium traffic model based on risk allostasis theory. Transportation Research Part A: Policy and Practice, 174 103731. doi: 10.1016/j.tra.2023.103731

NET-RAT: Non-equilibrium traffic model based on risk allostasis theory

2023

Journal Article

Fifth-order A-WENO path-conservative central-upwind scheme for behavioral non-equilibrium traffic models

Chu, Shaoshuai, Kurganov, Alexander, Mohammadian, Saeed and Zheng, Zuduo (2023). Fifth-order A-WENO path-conservative central-upwind scheme for behavioral non-equilibrium traffic models. Communications in Computational Physics, 33 (3), 692-732. doi: 10.4208/cicp.OA-2022-0263

Fifth-order A-WENO path-conservative central-upwind scheme for behavioral non-equilibrium traffic models

2022

Other Outputs

Freeway traffic flow dynamics and safety: A behavioural continuum framework

Mohammadian, Saeed (2022). Freeway traffic flow dynamics and safety: A behavioural continuum framework. PhD Thesis, School of Civil & Environmental Engineering, Queensland Institute of Technology. doi: 10.5204/thesis.eprints.227209

Freeway traffic flow dynamics and safety: A behavioural continuum framework

2021

Journal Article

On the performance of HLL, HLLC, and Rusanov solvers for hyperbolic traffic models

Mohammadian, Saeed, Moghaddam, Abolfazl Mohammadzadeh and Sahaf, Ali (2021). On the performance of HLL, HLLC, and Rusanov solvers for hyperbolic traffic models. Computers and Fluids, 231 105161, 105161. doi: 10.1016/j.compfluid.2021.105161

On the performance of HLL, HLLC, and Rusanov solvers for hyperbolic traffic models

2021

Journal Article

Integrating safety into the fundamental relations of freeway traffic flows: a conflict-based safety assessment framework

Mohammadian, Saeed, Haque, Md. Mazharul, Zheng, Zuduo and Bhaskar, Ashish (2021). Integrating safety into the fundamental relations of freeway traffic flows: a conflict-based safety assessment framework. Analytic Methods in Accident Research, 32 100187, 100187. doi: 10.1016/j.amar.2021.100187

Integrating safety into the fundamental relations of freeway traffic flows: a conflict-based safety assessment framework

2021

Journal Article

Performance of continuum models for realworld traffic flows: comprehensive benchmarking

Mohammadian, Saeed, Zheng, Zuduo, Haque, Md. Mazharul and Bhaskar, Ashish (2021). Performance of continuum models for realworld traffic flows: comprehensive benchmarking. Transportation Research. Part B: Methodological, 147, 132-167. doi: 10.1016/j.trb.2021.03.007

Performance of continuum models for realworld traffic flows: comprehensive benchmarking

2018

Journal Article

Improved numerical method for aw-rascle type continuum traffic flow models

Mohammadian, Saeed and van Wageningen-Kessels, Femke (2018). Improved numerical method for aw-rascle type continuum traffic flow models. Transportation Research Record, 2672 (20), 262-276. doi: 10.1177/0361198118784402

Improved numerical method for aw-rascle type continuum traffic flow models

Supervision

Availability

Dr Saeed Mohammadian is:
Available for supervision

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Media

Enquiries

For media enquiries about Dr Saeed Mohammadian's areas of expertise, story ideas and help finding experts, contact our Media team:

communications@uq.edu.au