ESR4 – Shahriar Hasan (Mälardalen University)
Project title: Ultra-reliable communications of Immersive visual data
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This project considers vehicle platooning as an application in which a group of highly automated vehicles follows a Lead Vehicle (LV) with short inter-vehicle gaps with the aid of onboard sensors and wireless vehicular communications to enable high fuel efficiency and enhance road throughput and safety. To this end, this project first addresses what kind of data is to be prioritized during platooning and how to model the transient nature of wireless connectivity to enable autonomous fault tolerance in platooning. In addition, the safety requirements for remotely controlling the LV in a platoon based on visual data transmitted by the LV are defined in this research work. |
Completed Research Activities:
- A novel emergency braking strategy has been proposed with the goal of transitioning a platoon to a fail-safe state by minimizing the stopping distance and avoiding inter-vehicle collisions (article link).
- A dynamic controller manager was proposed introducing the idea of heterogeneous controllers in a platoon and decentralized platoon control (article link)
- A novel approach to characterize the transient communication outages is proposed, which allows us to propose a state machine capturing different platooning states and the transitions between them based on the experienced communication quality. This work proposes a graceful performance degradation and upgradation method and an emergency braking strategy to enable autonomous fault tolerance in platooning (article link).
- An open-source simulation tool named PlatoonSAFE has been developed that facilitates the evaluation of platoon safety through fine-grained characterization of transient wireless connectivity, using Machine Learning (ML) to predict communication and network parameters, and evaluation of several emergency braking strategies. (GitHub link).
Ongoing Research activities:
- Using Machine Learning to enable online and real-time prediction of communication delays in vehicle platooning.
- Prediction of inter-vehicle collisions in a platoon during an emergency braking situation through ML algorithms.
- Relaying platoon control messages to enable high reliability in Vehicle-to-Vehicle communications.
- Platoon remote control.
Shahriar Hasan received his Joint Master Degree in Internet Technologies and Architecture from Sorbonne University, Paris and University of Trento, Italy, in 2017. He completed his bachelor’s degree in Computer Science and Engineering from Islamic University of Technology (IUT), Dhaka, Bangladesh, in 2013. He worked at Samsung R&D Institute Bangladesh Ltd. as Software Engineer and American International University-Bangladesh as Lecturer in Computer Science Department.
Contact Information:
Shahriar Hasan
Doctoral Student
School of Innovation, Design and Engineering
Division of Networked and Embedded Systems
Mälardalen University, Västerås, Sweden
Phone: +46 (0)73-662 14 47
Email: shahriar.hasan@mdh.se
http://www.es.mdh.se/staff/3777-Shahriar_Hasan
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 764951.