@inproceedings{Aizstrauts2020c,

title = {On Microservice Architecture Based Communication Environment for Cycling Map Developing and Maintenance Simulator},

author = {Artis Aizstrauts and Dirk Burkhardt and Egils Ginters and Kawa Nazemi},

editor = {Janis Grabis and Andrejs Romanovs and Galina Kulesova},

doi = {10.1109/ITMS51158.2020.9259299},

isbn = {978-1-7281-9105-8},

year  = {2020},

date = {2020-09-09},

booktitle = {2020 61st International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS)},

pages = {1-4},

publisher = {IEEE},

abstract = {Urban transport infrastructure nowadays involves environmentally friendly modes of transport, the most democratic of which is cycling. Citizens will use bicycles if a reasonably designed cycle path scheme will be provided. Cyclists also need to know the characteristics and load of the planned route before the trip. Prediction can be provided by simulation, but it is often necessary to use heterogeneous and distributed models that require a specific communication environment to ensure interaction. The article describes the easy communication environment that is used to provide microservices communication and data exchange in a bicycle route design and maintenance multi-level simulator.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{10.1007/978-3-319-20612-7_4,

title = {Explorative Visualization of Impact Analysis for Policy Modeling by Bonding Open Government and Simulation Data},

author = {Dirk Burkhardt and Kawa Nazemi and Egils Ginters and Artis Aizstrauts and Jörn Kohlhammer},

editor = {Sakae Yamamoto},

url = {https://link.springer.com/chapter/10.1007/978-3-319-20612-7_4. Springer Link},

doi = {doi.org/10.1007/978-3-319-20612-7_4},

isbn = {978-3-319-20612-7},

year  = {2015},

date = {2015-03-01},

booktitle = {International Conference on Human Interface and the Management of Information (HIMI 2015). Information and Knowledge Design.},

pages = {34--45},

publisher = {Springer International Publishing},

address = {Cham},

series = {LNCS 9172},

abstract = {Problem identification and solution finding are major challenges in policy modeling. Statistical indicator-data build the foundation for most of the required analysis work. In particular finding effective and efficient policies that solve an existing political problem is critical, since the forecast validation of the effectiveness is quite difficult. Simulation technologies can help to identify optimal policies for solutions, but nowadays many of such simulators are stand-alone technologies. In this paper we introduce a new visualization approach to enable the coupling of statistical indicator data from Open Government Data sources with simulators and especially simulation result data with the goal to provide an enhanced impact analysis for political analysts and decision makers. This allows, amongst others a more intuitive and effective way of solution finding.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}