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Public defence in transportation engineering, M.Sc. Farzam Tajdari

The title of the doctoral thesis: Optimal and adaptive controller design for motorway traffic with connected and automated vehicles
motorway transport

Title: Microscopic and macroscopic control investigations towards a promising drive

The growth in road traffic especially during the past few decades has resulted in numerous societal challenges like congested road networks, degradation of air quality and safety, and increase in fuel consumption. In this regard, Connected and Automated Vehicles (CAVs) are potentially capable of enhancing the traffic flow efficiency regarding the resulted short time headways which may have a promising effect on the air quality resulting from the fuel consumption reduction. Although CAVs control is challenging due to the inherent nonlinearity of the traffic flows, it is capable to bring the opportunity of using a higher level of Traffic Management Center (TMC) towards a promising drive investigating the driving-related terms of congestion avoidance, and safety and pleasantness of driving.

Thus, this dissertation adopts microscopic and macroscopic investigations in a motorway considering the effects of lane-changing and ramp-metering actions: microscopically, at the car-following behavior level, and macroscopically integrated with other control measures, exploiting the presence of connected vehicles which is improved by online FD's parameters identification.

The approach will improve the conventional car-following Advance Driving Assistant Systems (ADAS), towards a fully automated car-following that enhances the connected vehicles' frameworks, which is capable to identify traffic behavior characteristics, such as, e.g., a different traffic composition.

 

Opponents:
Professor (Associate Professor) Simona Sacone, University of Genova, Italy
Professor Balázs Adam Kulcsár, Chalmers University of Technology, Sweden

Custos: Assistant Professor Claudio Roncoli, Aalto University School of Engineering, Department of Built Environment

Contact information of the doctoral student: Farzam Tajdari[email protected], +31613967977

The public defence will be organised online. Zoom link: https://aalto.zoom.us/j/69203532020

The thesis is publicly displayed 10 days before the defence in the publication archive Aaltodoc of Aalto University. 

Electronic doctoral thesis

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