Queuing network approach for building evacuation planning

2014 ◽  
Author(s):  
Nurhanis Ishak ◽  
Ruzelan Khalid ◽  
Md. Azizul Baten ◽  
Mohd. Kamal Mohd. Nawawi
Keyword(s):  
Evacuation Planning ◽  
Network Approach ◽  
Queuing Network ◽  
Building Evacuation

scholarly journals A four-input three-stage queuing network approach to model an industrial system

2009 ◽  
Vol 33 (8) ◽  
pp. 3465-3487 ◽  
Author(s):  
Vidhyacharan Bhaskar ◽  
Patrick Lallement
Keyword(s):  
Industrial System ◽  
Network Approach ◽  
Queuing Network

scholarly journals Designing the optimal robotic milking barn by applying a queuing network approach

2003 ◽  
Vol 76 (2) ◽  
pp. 681-696 ◽  
Author(s):  
I. Halachmi ◽  
I.J.B.F. Adan ◽  
J. van der Wal ◽  
P. van Beek ◽  
J.A.P. Heesterbeek
Keyword(s):  
Network Approach ◽  
Queuing Network ◽  
Robotic Milking

scholarly journals A BCMP network approach to modeling and controlling autonomous mobility-on-demand systems

2018 ◽  
Vol 38 (2-3) ◽  
pp. 357-374 ◽  
Author(s):  
Ramon Iglesias ◽  
Federico Rossi ◽  
Rick Zhang ◽  
Marco Pavone
Keyword(s):  
Network Flow ◽  
Arrival Process ◽  
Large Set ◽  
Network Approach ◽  
Queuing Network ◽  
Flow Models ◽  
On Demand ◽  
Performance Guarantees ◽  
Autonomous Mobility ◽  
And Control

In this paper we present a queuing network approach to the problem of routing and rebalancing a fleet of self-driving vehicles providing on-demand mobility within a capacitated road network. We refer to such systems as autonomous mobility-on-demand (AMoD) systems. We first cast an AMoD system into a closed, multi-class Baskett–Chandy–Muntz–Palacios (BCMP) queuing network model capable of capturing the passenger arrival process, traffic, the state-of-charge of electric vehicles, and the availability of vehicles at the stations. Second, we propose a scalable method for the synthesis of routing and charging policies, with performance guarantees in the limit of large fleet sizes. Third, we explore the applicability of our theoretical results on a case study of Manhattan. Collectively, this paper provides a unifying framework for the analysis and control of AMoD systems, which provides a large set of modeling options (e.g. the inclusion of road capacities and charging constraints), and subsumes earlier Jackson and network flow models.

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