Game theoretic approach for predictive lane-changing and car-following control

By M. Wang, Serge P. Hoogendoorn, Winnie Daamen, B. van Arem, Riender Happee. 2015

322 citations recorded by the source corpus.

Subfields: Automotive Engineering, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/4cade5747ff186d6ab696e01117105e3e8a4348b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

1. Hongtao Yu
2. H. Tseng
3. Reza Langari

Citations in the corpus

• A human-like game theory-based controller for automatic lane changing (2018, background): “Wang et al. (2015) presented a model for car-following and lane-changing control based on a differential game.”
• Human-Like Decision Making for Autonomous Driving: A Noncooperative Game Theoretic Approach (2020, background): “In [26], the interactions between the host vehicle and surrounding vehicles are captured in a game theoretic approach, which can make optimal lane-change decision to overtake, merge and avoid collisions.”