On the Stochastic TSP for the Dubins Vehicle

In this paper, we study the stochastic travelling salesperson problem for a vehicle that is constrained to move forwards with a bound on the minimum turning radius. For n uniformly distributed targets, it is known that the expected length of the optimal tour has a lower bound that is kn2/3 (where k is a constant that depends on the geometry of the area). We design a novel algorithm that performs within a constant factor of that lower bound. This proves that the expected length of the optimal tour of the Stochastic Dubins Travelling Salesperson Problem (SDTSP) is of the order of exactly n2/3.