… road users’ crossing decisions, and there have been no explorations of critical conflict
scenarios… ’, and ‘sound of traffic’ (Leeds, N = 3), the use of nearby traffic lights to determine the …

… trucks, which employs an online model predictive control (MPC… study urban intersections,
the average speed variation is not … baseline scenario with two-phase fixed-time traffic signals in …

… Fully automated driving in urban scenes was seen as the … at a road crossing near Nagoya
University. The motion of the cyclist and … Both static objects, from traffic lights and signs to road …

… intersections benefit from stop signs or traffic lights to control … of autonomous vehicles at
an non-signalized intersection. … CW solution considering curve and intersection scenarios. …

… styles, and the scenarios of autonomous driving include car-… lane crossing (time-to-lane-crossing)
for different driving styles … describes the interaction of the autonomous vehicle with its …

… , through the interaction with vehicles of the target lane. In the intersection scenario, the ego
vehicle needs to … The cooperative driving strategy discussed in this paper may not result in …

… signal timing plan for the newly designed intersection, but they do not realize the dynamic
control for both the signal … As the green time is not wasted in Scenario 1, we have urn:x-wiley:…

… fluctuating traffic situations in dense city areas with varied road … task of Autonomous Driving
is to have traffic sign recognition … a specific case of intersection, where a circular traffic flow is …

… as additional attributes like speed limit and traffic signals, which are effectively encoded by
… critical scenarios (eg, encountering a road obstacle or complex intersection), and we plan to …

… interaction is a fundamental aspect of autonomous driving in … through a dense intersection,
for example, the agents have no … , we have in Table 1 mapped the double merge scenario to …