Path Finding Algorithm in Consideration of EVs’ Charging Behavior on Multi-Agent Based Traffic Simulation

Independence Detection in SAT-based Multi-Agent Path Finding

The problem of optimal multi-agent path finding (MAPF) is addressed in this paper. The task is to find optimal paths for mobile agents where each of them need to reach a unique goal position from the given start with respect to the given objective function. Agents must not collide with each other which is a source of combinatorial difficulty of the problem. An abstraction of the problem where d...

Traffic simulation environment for Multi-Agent systems based on GIS

Conflict-Based Search for Optimal Multi-Agent Path Finding

In the multi agent path finding problem (MAPF) paths should be found for several agents, each with a different start and goal position such that agents do not collide. Previous optimal solvers applied global A*-based searches. We present a new search algorithm called Conflict Based Search (CBS). CBS is a two-level algorithm. At the high level, a search is performed on a tree based on conflicts ...

Multi-agent based simulation of individual traffic in Berlin

1 Technische Universität Berlin, Institut für Land und Seeverkehr, Fachgebiet Verkehrssystemplanung und Verkehrstelematik, Salzufer 17-19, D-10587 Berlin [ www.vsp.tu-berlin.de | [email protected]] 2 Technische Universität Berlin, Institut für Land und Seeverkehr, Fachgebiet Verkehrssystemplanung und Verkehrstelematik, Salzufer 17-19, D-10587 Berlin [ www.vsp.tu-berlin.de | [email protected]...

k-Robust Multi-Agent Path Finding

This paper presents a planner that can solve the k-robust MAPF planner which is based on the Conflict-based search (CBS) (Sharon et al. 2015) MAPF solver. CBS does not explicitly search the n-agent state space. Instead, agents are associated with constraints of the form 〈ai, v, t〉, which would prohibit agent ai from occupying vertex v at time step t. A consistent path for agent ai is a path tha...