Indiana University-Purdue University Indianapolis (IUPUI) / This thesis studies critical zones of automated vehicles. The goal is for the automated
vehicle to complete a car-following or lane change maneuver without collision. For instance,
the automated vehicle should be able to indicate its interest in changing lanes and plan
how the maneuver will occur by using model predictive control theory, in addition to the
autonomous vehicle toolbox in Matlab. A test bench (that includes a scenario creator, motion
logic and planner, sensors, and radars) is created and used to calculate the parameters of a
critical zone. After a trajectory has been planned, the automated vehicle then attempts the
car following or lane change while constantly ensuring its safety to continue on this path. If
at any point, the lead vehicle brakes or a trailing vehicle accelerates, the automated vehicle
makes the decision to either brake, accelerate, or abandon the lane change.
| Identifer | oai:union.ndltd.org:IUPUI/oai:scholarworks.iupui.edu:1805/33371 |
| Date | 05 1900 |
| Creators | Glasky, Enimini Theresa |
| Contributors | Li, Lingxi, Chen, Yaobin, King, Brian |
| Source Sets | Indiana University-Purdue University Indianapolis |
| Language | en_US |
| Detected Language | English |
| Type | Thesis |
| Rights | Attribution-NonCommercial-NoDerivatives 4.0 International, http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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