Driver assist features such as adaptive cruise control (ACC) and highway assistants are becoming increasingly prevalent on commercially available vehicles. These systems are typically designed for safety and rider comfort. However, these systems are often not designed with the quality of the overall traffic flow in mind. For such a system to be beneficial to the traffic flow, it must be string stable and minimize the inter-vehicle spacing to maximize throughput, while still being safe. We propose a methodology to select autonomous driving system parameters that are both safe and string stable using the existing control framework already implemented on commercially available ACC vehicles. Optimal parameter values are selected via model-based optimization for an example highway assistant controller with path planning.
|Original language||English (US)|
|Title of host publication||2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||6|
|State||Published - Oct 2019|
|Event||2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019 - Auckland, New Zealand|
Duration: Oct 27 2019 → Oct 30 2019
|Name||2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019|
|Conference||2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019|
|Period||10/27/19 → 10/30/19|
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