Stochastic and Dynamic Routing Problems for Multiple Uninhabited Aerial Vehicles

نویسندگان

  • Ketan Savla
  • Emilio Frazzoli
  • John J. Enright
  • Francesco Bullo
چکیده

The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Consider a routing problem for a team of vehicles in the plane: target points appear randomly over time in a bounded environment and must be visited by one of the vehicles. It is desired to minimize the expected system time for the targets, i.e., the expected time elapsed between the appearance of a target point, and the instant it is visited. In this paper, such a routing problem is considered for a team of Uninhabited Aerial Vehicles (UAVs), modeled as vehicles moving with constant forward speed along paths of bounded curvature. Three algorithms are presented, each designed for a distinct set of operating conditions. Each is proven to provide a system time within a constant factor of the optimal when operating under the appropriate conditions. It is shown that the optimal routing policy depends on problem parameters such as the workload per vehicle and the vehicle density in the environment. Finally, there is discussion of a phase transition between two of the policies as the problem parameters are varied. In particular, for the case in which targets appear sporadically, a dimension-less parameter is identified which completely captures this phase transition and an estimate of the critical value of the parameter is provided. A area of the bounded domain, m 2 a area per vehicle in the unbounded domain, m 2 d ρ nonholonomic vehicle density D ρ (g 1 , g 2) configuration-to-configuration Dubins distance function, m D(t) set of targets outstanding at time t g configuration (position and heading) of vehicle H m (p, Q) multi-median function, m H * m (Q) minimum value of the multi-median function, m I m the set of integers between 1 and m, included L ρ (g, q) configuration-to-position Dubins distance function, m m number of UAVs n steady-state number of outstanding targets N the set of natural numbers p position of the Voronoi generators, m q point in the domain, m Q a bounded planar domain R the set or real numbers R + the set or non-negative real numbers R t (g) the set of positions reachable from configuration g within time t SE(2) Special Euclidean group in two dimensions (i.e., the group of rigid planar motions) t time, s T the steady-state system time, s v vehicle speed, ms −1 W, …

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

On Multiple UAV Routing with Stochastic Targets: Performance Bounds and Algorithms

In this paper we consider the following problem. A number of Uninhabited Aerial Vehicles (UAVs), modeled as vehicles moving at constant speed along paths of bounded curvature, must visit stochastically-generated targets in a convex, compact region of the plane. Targets are generated according to a spatio-temporal Poisson process, uniformly in the region. It is desired to minimize the expected w...

متن کامل

Stochastic and Dynamic Routing Problems for multiple UAVs

Consider a routing problem for a team of vehicles in the plane: target points appear randomly over time in a bounded environment and must be visited by one of the vehicles. It is desired to minimize the expected system time for the targets, i.e., the expected time elapsed between the appearance of a target point, and the instant it is visited. In this paper, such a routing problem is considered...

متن کامل

Integrated task assignment and path optimization for cooperating uninhabited aerial vehicles using genetic algorithms

The problem of integrating task assignment and planning paths for a group of cooperating uninhabited aerial vehicles, servicing multiple targets, is addressed. In the problem of interest the uninhabited aerial vehicles need to perform multiple consecutive tasks cooperatively on each ground target. A Dubins car model is used for motion planning, taking into account each vehicle’s specific constr...

متن کامل

A multi-product vehicle routing scheduling model with time window constraints for cross docking system under uncertainty: A fuzzy possibilistic-stochastic programming

Mathematical modeling of supply chain operations has proven to be one of the most complex tasks in the field of operations management and operations research. Despite the abundance of several modeling proposals in the literature; for vast majority of them, no effective universal application is conceived. This issue renders the proposed mathematical models inapplicable due largely to the fact th...

متن کامل

Multiple task assignments for cooperating uninhabited aerial vehicles using genetic algorithms

A problem of assigning cooperating uninhabited aerial vehicles to perform multiple tasks on multiple targets is posed as a new combinatorial optimization problem. A genetic algorithm for solving such a problem is proposed. The algorithm allows us to efficiently solve this NP-hard problem that has prohibitive computational complexity for classical combinatorial optimization methods. It also allo...

متن کامل

A Combined Stochastic Programming and Robust Optimization Approach for Location-Routing Problem and Solving it via Variable Neighborhood Search algorithm

The location-routing problem is one of the combined problems in the area of supply chain management that simultaneously make decisions related to location of depots and routing of the vehicles. In this paper, the single-depot capacitated location-routing problem under uncertainty is presented. The problem aims to find the optimal location of a single depot and the routing of vehicles to serve th...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2009