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Traffic congestion is a major problem in many large urban centres. More than just an inconvenience to commuters themselves, it affects the air we all breathe and the overall quality of our lives. Dr Mohsen Ramezani's research aims to mitigate the problem of urban traffic congestion and its associated implications for the broader community.
"Transport systems are the backbone of infrastructure, and efficient and sustainable mobility solutions can lead to substantial benefits in terms of time, energy, air and noise pollution, safety, and quality of life. Traffic congestion is the major problem my research aims to mitigate, through outcomes that will support the decision-making processes of road authorities. My aim is to develop novel mobility solutions to provide more efficient, sustainable, equitable, cheaper, cleaner and safer transport systems for people and goods. My long-term goal is to integrate cutting-edge technologies to enhance the transport experience of everyday people.
"My research is quantitative, and is based on the physical modelling of traffic flow dynamics, big data analytics, fostering of emerging technologies and advanced mathematical tools. It involves developing multi-scale and multimodal traffic control schemes to achieve holistic traffic congestion management systems to address the entire extent and complexity of the transport network.
"I am passionate about this field of research because it is dynamic, challenging, community oriented and multidisciplinary, and it occurs at the intersection of science and engineering. It also results in tangible, direct and significant benefits to society. The main challenging is modelling and addressing the dynamic behaviour and decision-making processes of human beings as the main part of any complex transport system."
"Transport systems are the backbone of infrastructure, and efficient and sustainable mobility solutions can lead to substantial benefits in terms of time, energy, air and noise pollution, safety, and quality of life. Traffic congestion is the major problem my research aims to mitigate, through outcomes that will support the decision-making processes of road authorities. My aim is to develop novel mobility solutions to provide more efficient, sustainable, equitable, cheaper, cleaner and safer transport systems for people and goods. My long-term goal is to integrate cutting-edge technologies to enhance the transport experience of everyday people.
"My research is quantitative, and is based on the physical modelling of traffic flow dynamics, big data analytics, fostering of emerging technologies and advanced mathematical tools. It involves developing multi-scale and multimodal traffic control schemes to achieve holistic traffic congestion management systems to address the entire extent and complexity of the transport network.
"I am passionate about this field of research because it is dynamic, challenging, community oriented and multidisciplinary, and it occurs at the intersection of science and engineering. It also results in tangible, direct and significant benefits to society. The main challenging is modelling and addressing the dynamic behaviour and decision-making processes of human beings as the main part of any complex transport system."
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Transportation Research Part C: Emerging Technologies (2023): 104159
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Transportation Research Part C: Emerging Technologies (2023): 104158-104158
Transportation Research Part C: Emerging Technologies (2023): 104062-104062
TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCHno. 7 (2023): 645-658
Transportation Research Part C: Emerging Technologies (2022): 103932-103932
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