Abstract
Multi-vehicle routing problems in systems and control theory are concerned with the design of control policies to coordinate several vehicles moving in a metric space, in order to complete spatially localized, exogenously generated tasks in an efficient way. Control policies depend on several factors, including the definition of the tasks, of the task generation process, of the vehicle dynamics and constraints, of the information available to the vehicles, and of the performance objective. Ensuring the stability of the system, i.e., the uniform boundedness of the number of outstanding tasks, is a primary concern. Typical performance objectives are represented by measures of quality of service, such as the average or worst-case time a task spends in the system before being completed or the percentage of tasks that are completed before certain deadlines. The scalability of the control policies to large groups of vehicles often drives the choice of the information structure, requiring distributed computation.
Similar content being viewed by others
Bibliography
Bertsimas DJ, van Ryzin GJ (1991) A stochastic and dynamic vehicle routing problem in the Euclidean plane. Oper Res 39:601–615
Bullo F, Frazzoli E, Pavone M, Savla K, Smith SL (2011) Dynamic vehicle routing for robotic systems. Proc IEEE 99(9):1482–1504
Golden B, Raghavan S, Wasil E (2008) The vehicle routing problem: latest advances and new challenges. Volume 43 of operations research/computer science interfaces. Springer, New York
Jaillet P, Wagner MR (2006) Online routing problems: value of advanced information and improved competitive ratios. Transp Sci 40(2):200–210
Pavone M (2010) Dynamic vehicle routing for robotic networks. PhD thesis, Department of Aeronautics and Astronautics, Massachusetts Institute of Technology
Pavone M, Savla K, Frazzoli E (2009) Sharing the load. IEEE Robot Autom Mag 16(2):52–61
Steele JM (1990) Probabilistic and worst case analyses of classical problems of combinatorial optimization in Euclidean space. Math Oper Res 15(4):749
Toth P, Vigo D (eds) (2001) The vehicle routing problem. Monographs on discrete mathematics and applications. SIAM, Philadelphia. ISBN:0898715792
Van Hentenryck P, Bent R, Upfal E (2009) Online stochastic optimization under time constraints. Ann Oper Res 177(1):151–183
Vazirani V (2001) Approximation algorithms. Springer, New York
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer-Verlag London
About this entry
Cite this entry
Frazzoli, E., Pavone, M. (2014). Multi-vehicle Routing. In: Baillieul, J., Samad, T. (eds) Encyclopedia of Systems and Control. Springer, London. https://doi.org/10.1007/978-1-4471-5102-9_218-1
Download citation
DOI: https://doi.org/10.1007/978-1-4471-5102-9_218-1
Received:
Accepted:
Published:
Publisher Name: Springer, London
Online ISBN: 978-1-4471-5102-9
eBook Packages: Living Reference EngineeringReference Module Computer Science and Engineering