Summary
Maytheewat Aramrattana is a senior researcher at the Swedish National Road and Transport Research Institute (VTI) with 13 years of experience specializing in modelling and simulation of Cooperative Intelligent Transport Systems, connected and automated vehicle testing, and remote vehicle operations. He holds a PhD in Computer Science and Engineering from Halmstad University and has led and coordinated EU- and Sweden-funded projects such as REDO/REDO2 and ROADVIEW that bridge simulation methodology and real-world remote operation. Technically hands-on, he develops simulation tools and prototypes primarily in C++ and Python, with prior experience in C, C#, and Java, grounded in an electronics and embedded systems background. Maytheewat’s work focuses on simulation-based evaluation of mixed-traffic cooperative behaviours and contributes to safer deployment paths for automated driving functions. Based in Gothenburg, he combines academic rigor with practical project leadership, often translating research outcomes into testable, industry-relevant solutions. An interesting detail: his PhD work produced a simulation-based methodology for platooning (CACC), a foundation that continues to inform his current remote-operation research.
12 years of coding experience
12 years of employment as a software developer
Bachelor of Engineering (B.Eng.), Electrical Engineering, Bachelor of Engineering (B.Eng.), Electrical Engineering at Kasetsart University
Doctor of Philosophy - PhD, Computer Science and Engineering, Doctor of Philosophy - PhD, Computer Science and Engineering at Halmstad University
English, Thai, Swedish