Mahdi Rezaei - IEEE Xplore Author Profile

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Author details

Mahdi Rezaei

Publications

3

Citations

59

Publications by Year

20222023

Co-Authors:

Majid AhmadiShahpour AlirezaeePaolo BellavistaMohammad HijjiTanveer Hussain

Show All Co-Authors (13)

Mahdi Rezaei

Affiliation

Institute for Transport Studies, University of Leeds, UK

Publication Topics

Lane Change,
Adaptive Control,
Adaptive Cruise Control,
Advanced Driver Assistance Systems,
Long Short-term Memory,
Recurrent Neural Network,
Short-term Memory,
3D Scanning,
Acceleration Values,
Adaptive Cruise Control System,
Adjacent Lane,
Adverse Weather Conditions

Biography

Mahdi Rezaei (Member, IEEE) received the Ph.D. degree (Hons.) in computer science from The University of Auckland, New Zealand, in 2014. He is currently an Assistant Professor and a University Academic Fellow (UAF) at the Institute for Transport Studies, University of Leeds. He has 15 years of experience in academia and industry and his primary area of expertise and research interests are in computer vision, machine learning, and deep learning. His research mainly focuses on real-world applications in autonomous driving and smart cars, driver behavior monitoring, road/traffic perception, object detection and tracking, human factors, and safety. He has published more than 50 journal articles and conference papers, a monograph book with Sprin...

Publications

3

Citations

59

Publications by Year

20222023

Co-Authors:

Majid Ahmadi
Shahpour Alirezaee
Paolo Bellavista
Mohammad Hijji
Tanveer Hussain

Show All Co-Authors (13)

Author's Published Works

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Showing 1-4 of 4 results

Journals (2)

Conferences (1)

Early Access Articles (1)

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Jiwan Jiang(4)
Yang Zhou(4)
Xinyue Ye(2)
Sixu Li(2)
Meng Wang(2)
Chair of Traffic Process Automation, Technische Universität Dresden, Dresden, Germany(2)
Zachry Department of Civil & Environmental Engineering, Texas A&M University, College Station, TX, USA(1)
Department of Multidisciplinary Engineering, Texas A&M University, College Station, USA(1)
Department of Landscape Architecture & Urban Planning, Texas A&M University, College Station, TX, USA(1)
Department of Civil and Environmental Engineering, University of Wisconsin–Madison, Madison, USA(1)
2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)(1)
IEEE Access(1)
IEEE Transactions on Intelligent Transportation Systems(1)
IEEE Transactions on Intelligent Vehicles(1)
IEEE(4)
Bilbao, Spain(1)
Automated Vehicles(3)
Model Predictive Control(3)
Adaptive Cruise Control(2)
Control Input(2)
Cost Function(2)

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Stochastic Calibration of Automated Vehicle Car-Following Control: An Approximate Bayesian Computation Approach

Jiwan Jiang;Yang Zhou;Ghazaleh Jafarsalehi;Xin Wang;Soyoung Ahn;John D. Lee

IEEE Transactions on Intelligent Transportation Systems

Year: 2025 | Volume: 26, Issue: 3 | Journal Article |

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This paper presents a stochastic calibration method based on Approximate Bayesian Computation (ABC). This method is applied to calibrate two car-following control models: linear control and model predictive control (MPC). The method is likelihood-function-free, where the likelihood function is replaced by simulation to approximate the posterior distribution of model parameters. This structure affo...Show More

Stochastic Calibration of Automated Vehicle Car-Following Control: An Approximate Bayesian Computation Approach

Jiwan Jiang;Yang Zhou;Ghazaleh Jafarsalehi;Xin Wang;Soyoung Ahn;John D. Lee

IEEE Transactions on Intelligent Transportation Systems

Year: 2025 | Volume: 26, Issue: 3 | Journal Article |

Sequencing-Enabled Hierarchical Cooperative CAV On-Ramp Merging Control With Enhanced Stability and Feasibility

Sixu Li;Yang Zhou;Xinyue Ye;Jiwan Jiang;Meng Wang

IEEE Transactions on Intelligent Vehicles

Year: 2024 | Early Access Article |

This paper develops a sequencing-enabled hierarchical connected automated vehicle (CAV) cooperative on-ramp merging control framework. The proposed framework consists of a two-layer design: the upper-level control sequences the vehicles to harmonize the traffic density across mainline and on-ramp segments, simultaneously enhancing lower-level control efficiency through a mixed-integer linear progr...Show More

Sequencing-Enabled Hierarchical Cooperative CAV On-Ramp Merging Control With Enhanced Stability and Feasibility

Sixu Li;Yang Zhou;Xinyue Ye;Jiwan Jiang;Meng Wang

IEEE Transactions on Intelligent Vehicles

Year: 2024 | Early Access Article |

Sequencing-Enabled Hierarchical Cooperative On-Ramp Merging Control for Connected and Automated Vehicles

Sixu Li;Yang Zhou;Xinyue Ye;Jiwan Jiang;Meng Wang

2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)

Year: 2023 | Conference Paper |

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This paper develops a sequencing-enabled hierarchical connected automated vehicle (CAV) cooperative on-ramp merging multi-scale control framework. The proposed framework consists of a two-layer design: the upper level control sequences the vehicles to balance the density difference between mainline and on-ramp segments while enhancing lower-level control efficiency through a mixed-integer linear p...Show More

Sequencing-Enabled Hierarchical Cooperative On-Ramp Merging Control for Connected and Automated Vehicles

Sixu Li;Yang Zhou;Xinyue Ye;Jiwan Jiang;Meng Wang

2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)

Year: 2023 | Conference Paper |

A Personalized Human Drivers’ Risk Sensitive Characteristics Depicting Stochastic Optimal Control Algorithm for Adaptive Cruise Control

Jiwan Jiang;Fan Ding;Yang Zhou;Jiaming Wu;Huachun Tan

Year: 2020 | Volume: 8 | Journal Article |

Cited by: Papers (10)

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This paper presents a personalized stochastic optimal adaptive cruise control (ACC) algorithm for automated vehicles (AVs) incorporating human drivers' risk-sensitivity under system and measurement uncertainties. The proposed controller is designed as a linear exponential-of-quadratic Gaussian (LEQG) problem, which utilizes the stochastic optimal control mechanism to feedback the deviation from th...Show More

A Personalized Human Drivers’ Risk Sensitive Characteristics Depicting Stochastic Optimal Control Algorithm for Adaptive Cruise Control

Jiwan Jiang;Fan Ding;Yang Zhou;Jiaming Wu;Huachun Tan

Year: 2020 | Volume: 8 | Journal Article |

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