Mixed-integer Programming for Centralized Coordination of Connected and Automated Vehicles in Dynamic Environment-Reference-Cited by-同舟云学术

Mixed-integer Programming for Centralized Coordination of Connected and Automated Vehicles in Dynamic Environment

Published:2021-08-09 Issue: Volume: Page:
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Container-title:2021 IEEE Conference on Control Technology and Applications (CCTA)
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Author:

Ravikumar Shreejith¹,Quirynen Rien¹,Bhagat Akshay²,Zeino Eyad²,Di Cairano Stefano¹

Affiliation:

1. Mitsubishi Electric Research Laboratories,Cambridge,MA,USA,02139

2. Mitsubishi Electric Automotive America,Northville,MI,USA,48168

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9658569/9658587/09658675.pdf?arnumber=9658675

Reference18 articles.

1. Motion Planning of Autonomous Road Vehicles by Particle Filtering

2. Vehicle integrated control by nonlinear model predictive control in GNSS-based autonomous driving system;uno;Transactions of Society of Automotive Engineers of Japan,2019

3. Coordination of Cooperative Autonomous Vehicles: Toward safer and more efficient road transportation

4. Optimal Coordination of Automated Vehicles at Intersections: Theory and Experiments

5. Mixed-Integer Linear Programming for Optimal Scheduling of Autonomous Vehicle Intersection Crossing

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