A Model Predictive Controller for Automated Lane Change Maneuver with Multi-Constraints-Reference-Cited by-同舟云学术

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A Model Predictive Controller for Automated Lane Change Maneuver with Multi-Constraints

Published:2021-12-14 Issue: Volume: Page:
ISSN:
Container-title:CICTP 2021
language:
Short-container-title:

Author:

Yang Mingliang¹²²²²,Jiang Kun¹²²²²,Yu Weiguang¹²²²²,Kou Shengjie¹²²²²,Yang Diange¹²²²²

Affiliation:

1. State Key Laboratory of Automotive Safety and Energy, Centre for Intelligent Connected Vehicles and Transportation, School of Vehicle and Mobility, Tsinghua Univ., Beijing.

2. State Key Laboratory of Automotive Safety and Energy, Centre for Intelligent Connected Vehicles and Transportation, School of Vehicle and Mobility, Tsinghua Univ., Beijing

Publisher

American Society of Civil Engineers

Link

http://ascelibrary.org/doi/pdf/10.1061/9780784483565.245

Reference13 articles.

1. Personalized driver/vehicle lane change models for ADAS;Butakov V. A.;IEEE Transactions on Vehicular Technology,2014

2. Carvalho A. Gao Y. Lefevre S. & Borrelli F. (2014). Stochastic predictive control of autonomous vehicles in uncertain environments. In 12th International Symposium on Advanced Vehicle Control (pp. 712-719).

3. Advanced Driver Assistance Strategies for a Single-Vehicle Overtaking a Platoon on the Two-Lane Two-Way Road;Chen J. J.;IEEE ACCESS,2020

4. Communication Block Slot Optimization Method Based on Intelligent Vehicle Platoon Cognitive Ability Enhancement[J];Chen J. J.;China J. Highway Transp.,2019

5. Platoon Separation Strategy Optimization Method Based on Deep Cognition of a Driver's Behavior at Signalized Intersections;Chen J. J.;IEEE ACCESS,2020

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