Abstract
The increasing number of vehicles and mobile users has led to a huge increase in the development of Advanced Driver Assistance Systems (ADAS). In this paper we propose a multi-agent-based driving simulator which integrates a test-bed that allows ADAS developers to compress testing time and carry out tests in a controlled environment while using a low-cost setup. We use the SUMO microscopic simulator and a serious-game-based driving simulator which has geodata provided from standard open sources. This simulator connects to an Android device and sends data such as the current GPS coordinates and transportation network data. One important feature of this application is that it allows ADAS validation without the need of field testing. Also important is the suitability of our architecture to serve as an appropriate means to conduct behaviour elicitation through peer-designed agents, as well as to collect performance measures related to drivers’ interaction with ADAS solutions.
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Gonçalves, J.S.V., Jacob, J., Rossetti, R.J.F., Coelho, A., Rodrigues, R. (2015). An Integrated Framework for Mobile-Based ADAS Simulation. In: Behrisch, M., Weber, M. (eds) Modeling Mobility with Open Data. Lecture Notes in Mobility. Springer, Cham. https://doi.org/10.1007/978-3-319-15024-6_10
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DOI: https://doi.org/10.1007/978-3-319-15024-6_10
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