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Microsimulation and Control of Mixed-Mode Highway Traffic


W. Gao

Master Thesis, HS15 (10238)

In the recent past, the work on autonomous vehicles and Advanced Driver Assistance Systems (ADAS) has grown dramatically due to advances in computing, sensing, and control technologies. The design and testing of these intelligent vehicle systems on real-world test-tracks and roads, however, is often cost-intensive, time-consuming, and dangerous. As a result, a microscopic simulation environment is required to provide a platform for the development, testing, and evaluation of new control designs used in autonomous driving. This thesis presents the design of a novel simulation environment for highway traffic. First, an evaluation of microscopic models used in existing traffic simulations is conducted. The most appropriate models are modified, combined, and implemented in MATLAB/Simulink. The parameters of the microscopic models are calibrated and validated using real-world data collected on U.S. highways. Finally, the simulation environment is tested using an existing Scenario MPC controller for autonomous highway driving and the results are discussed.

Supervisors: Ashwin Carvalho (UCB), Georg Schildbach (UCB), Francesco Borrelli (UCB), Manfred Morari


Type of Publication:

(12)Diploma/Master Thesis

M. Morari

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% Autogenerated BibTeX entry
@PhdThesis { Xxx:2016:IFA_5411
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