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Iisakki Kosonen
Researcher at Aalto University
Publications - 67
Citations - 956
Iisakki Kosonen is an academic researcher from Aalto University. The author has contributed to research in topics: Traffic simulation & Network traffic simulation. The author has an hindex of 16, co-authored 67 publications receiving 864 citations. Previous affiliations of Iisakki Kosonen include Helsinki University of Technology.
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Journal ArticleDOI
Multi-Agent Fuzzy Signal Control Based on Real-Time Simulation
TL;DR: A traffic signal control system based on real-time simulation, multi-agent control scheme and fuzzy inference is presented, which allows combination of various aspects like fluency, economy, environment and safety.
Road environment mapping system of the finnish geodetic institute - fgi roamer -
Antero Kukko,Constantin-Octavian Andrei,Veli-Matti Salminen,Harri Kaartinen,Yuwei Chen,Petri Rönnholm,Hannu Hyyppä,Juha Hyyppä,Ruizhi Chen,Henrik Haggrén,Iisakki Kosonen,Karel Capek +11 more
TL;DR: The hardware and the navigation solution of the FGI ROAMER, a mobile road environment mapping system that consists of a carrying platform, positioning and navigation systems, and a 3D data acquisition system, is described.
Hutsim - urban traffic simulation and control model: principles and applications
TL;DR: The overall aim has been to develop a versatile planning and research tool for detailed examination of the traffic process and its interactions and an open and generic driver modeling framework is outlined in this thesis.
Journal ArticleDOI
An intelligent control system for traffic lights with simulation-based evaluation
TL;DR: This paper introduces an intelligent control system for traffic signal applications, called Fuzzy Intelligent Traffic Signal (FITS) control, which provides a convenient and economic approach to improv ...
Proceedings ArticleDOI
Map updating and change detection using vehicle-based laser scanning
Juha Hyyppä,Anttoni Jaakkola,Hannu Hyyppä,Harri Kaartinen,Antero Kukko,Markus Holopainen,Lingli Zhu,Mikko Vastaranta,Sanna Kaasalainen,Anssi Krooks,Paula Litkey,Päivi Lyytikäinen-Saarenmaa,Leena Matikainen,Petri Rönnholm,Ruizhi Chen,Yuwei Chen,Arhi Kivilahti,Iisakki Kosonen +17 more
TL;DR: The high potential of change detection based on multitemporal VLS point clouds was demonstrated and a method to map biomass and biomass change of (city) trees was developed.