Automated Vehicles in Hazardous Merging Traffic: A Chance-Constrained Approach

Author:

Dollar R. Austin,Vahidi Ardalan

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference19 articles.

1. Freeway merge assistance system using DSRC;Ahmed;In Proc. of the 2nd ACM Int. Workshop on Smart, Autonomous, and Connected Vehicular Syst. and Services,2017

2. Beene, R. (2017). Self-driving car accidents: Robot drivers are ‘odd, and that’s why they get hit’. See also URL https://www.seattletimes.com/business/self-driving-car-accidents-robot-drivers-are-odd-and-thats-why-they-get-hit/.

3. Coulter, R. (1992). Implementation of the pure pursuit path tracking algorithm. Tech. rep. CMU-RI-TR-92-01, The Robotics Institute, Carnegie Mellon Univ., Pittsburgh, PA. See also URL http://www.dtic.mil/dtic/tr/fulltext/u2/a255524.pdf.

4. Efficient and collision-free anticipative cruise control in randomly mixed strings;Dollar;IEEE Trans. on Intell. Vehicles,2018

5. Dollar, R. and Vahidi, A. (2018b). Predictively coordinated vehicle acceleration and lane selection using mixed integer programming. In Proc. of the ASME DSCC, 1–9.

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1. Merging in Air Corridors Using Vehicle-to-Vehicle Communications;ICC 2024 - IEEE International Conference on Communications;2024-06-09

2. Automated Vehicle Highway Merging: Motion Planning via Adaptive Interactive Mixed-Integer MPC;2023 American Control Conference (ACC);2023-05-31

3. Multilane Automated Driving With Optimal Control and Mixed-Integer Programming;IEEE Transactions on Control Systems Technology;2021-11

4. Lateral Vehicle Control;Automotive Control;2021-09-24

5. Energy and flow effects of optimal automated driving in mixed traffic: Vehicle-in-the-loop experimental results;Transportation Research Part C: Emerging Technologies;2021-09

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