We consider the problem of constructing roadmaps of real algebraic sets. This problem was introduced by Canny to answer connectivity questions and solve motion planning problems. Given s polynomial equations with rational coefficients, of degree D in n variables, Canny's algorithm has a Monte Carlo cost of s n log(s)D O(n 2 ) operations in Q; a deterministic version runs in time s n log(s)D O(n 4 ) . A subsequent improvement was due to Basu, Pollack, and Roy, with an algorithm of deterministic cost s d+1 D O(n 2 ) for the more general problem of computing roadmaps of a semi-algebraic set (d ≤ n is the dimension of an associated object).We give a probabilistic algorithm of complexity (nD) O(n 1.5 ) for the problem of computing a roadmap of a closed and bounded hypersurface V of degree D in n variables, with a finite number of singular points. Even under these extra assumptions, no previous algorithm featured a cost better than D O(n 2 ) .