In this thesis, we propose a novel algorithm for stochastic routing optimized for autonomous
vehicles. The key idea of stochastic routing is to include information on travel time reliability …

This paper aims at solving the stochastic shortest path problem in vehicle routing, the
objective of which is to determine an optimal path that maximizes the probability of arriving …

We propose a routing method for electric vehicles that finds a route with minimal expected
travel time in time-dependent stochastic networks. The method first estimates whether the …

Vehicle routing problems have been studied extensively in the past decades due, in part, to
their practical relevance. Until a few years ago, however, the focus has been on static and …

In this paper, a literature survey has been conducted on a specific type of vehicle routing
problem called as the stochastic vehicle routing problem (SVRP). SVRP is of great …

This paper presents a stochastic motion planning algorithm and its application to traffic
navigation. The algorithm copes with the uncertainty of road traffic conditions by stochastic …

We study how to model and handle correlated travel times in two-stage stochastic vehicle-
routing problems. We allow these travel times to be correlated in time and space; that is, the …

This thesis deals with the Dynamic Vehicle Routing Problem (DVRP) for which stochastic
information is available. DVRP is interesting in that it enables the modeling of many practical …

Self-driving automobiles are understandably the most attention grabbing utility of artificial
intelligence. Until recently, we have just considered the prototypes of these cars in Sci-fi …

Vehicle routing problems with stochastic travel and service times (VRPSTT) consist of
designing transportation routes of minimal expected cost over a network where travel and …