… autonomous vehicle motion planning. We investigate how an autonomous agent can safely
negotiate with other traffic … -tree decision making can be executed by an autonomous vehicle, …

… of static traffic law information and dynamic traffic participant … a driving behavior decision
method that deals with traffic law … decision problem of autonomous vehicle in complex traffic …

We study the design of learning architectures for behavioural planning in a dense traffic setting.
Such architectures should deal with a varying number of nearby vehicles, be invariant to …

… In this paper, we introduced a rule-based decision making system for autonomous vehicles
in mixed traffic environment at cross intersections. The DMS consists of two components: a …

… with human-driven cars), the autonomous traffic is still susceptible to deadlocks, blockades
and … a traffic model with a higher abstraction level can efficiently support the decision making …

… traffic participants [7], [8]. This paper focuses on the mutual influence and interaction between
autonomous … changing trajectories for the autonomous vehicles that need to change lanes. …

… to $186.2 billion in 2030 with traffic congestion forecast to increase by 60… decision-making
methods at intersections. We believe that intersections could be one of the most critical traffic …

… decision making process for autonomous vehicles. Its goal is to provide a solution for a very
challenging task: the merge manoeuvre in high traffic … reactions to the autonomous vehicle’s …

… traffic participants poses a complex problem. In this paper, we model the decision making …
Especially the influence of decisions, which an autonomous vehicle or a driver makes, on …

… of human drivers to autonomous driving [31… of traffic accidents, especially in the highway
condition, this paper mainly focuses on the study of human-like lane-change decision making …