Dependence of the cut-off parameters for the cluster reconstruction on incident momenta

In this work, firstly, we have determined the multiplicities of protons that are involved from projectiles to interactions, and secondly, the mean incident momentum using experimental data on the collisions of proton, helium, oxygen, silicon, and sulfur with the nuclear emulsion at 4.5A GeV/c. We have studied the dependences of clot numbers, number of particles in the clot, rapidity, and the mean azimuthal value on the variable dij, and the dependence of the cluster number on the mean value of the variable dij. Using the “Cone” algorithm for the clustering, we have precisely identified that the cut-off parameter to compose the clusters consisted of s and f tracks produced in (p, He, C, O, Si, S) + Em collisions decreases by the power law with mean values of incident momentum.

Collision Cone Based Lane Changing Model for Collision Avoidance

In this paper, we propose a lane changing model based on the collision cone approach. Specifically, we show how a vehicle decides whether to change lanes using the collision cone algorithm based on the information of the velocity and the location of surrounding vehicles. The model compares the current and target lane with a new measure of driving advantages. It determines if there are any existing driving advantages such as free space and speed by lane changing. Moreover, a new methodology of lane changing for collision avoidance, which is based on line of sight (LOS) with a new leader in a target lane, is suggested with a model predictive control (MPC) controller. Additionally, we show that the model makes reliable decisions and generates acceptable lane changing trajectories.