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Microscopic Modeling of Human and Automated Driving
Inglese
245 b
30 giorni per il reso
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His doctoral thesis at hand comprises the§state-of-the-art in microscopic traffic modeling and§simulation methodology. The first part deals with a§microscopic traffic flow theory. Models describing§the individual acceleration, deceleration and§lane-changing behavior are formulated and the§emerging collective traffic dynamics are investigated§by means of simulations. The models and simulation§tools presented provide the methodical prerequisites§for the second part in which a novel concept of a§traffic-adaptive control strategy for Adaptive Cruise§Control (ACC) systems is presented. The impact of§such systems on the traffic dynamics can solely be§investigated and assessed by traffic simulations. In§order to ensure that ACC systems are implemented in§ways that improve rather than degrade traffic§conditions, the thesis proposes an extension of ACC§systems towards traffic-adaptive cruise control by§means of implementing an actively jam-avoiding§driving strategy. The presented concept is aiming at§moving forward adaptive and cooperative technologies§for vehicle-based intelligent transportation systems§(ITS).
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