scholarly journals A Pipe Network Simulation Model with Dynamic Transition between Free Surface and Pressurized Flow

2014 ◽  
Vol 70 ◽  
pp. 641-650 ◽  
Author(s):  
J. Fernández-Pato ◽  
P. García-Navarro
Keyword(s):  
Free Surface ◽  
Simulation Model ◽  
Network Simulation ◽  
Pipe Network ◽  
Dynamic Transition ◽  
Network Simulation Model

Agent-based multi-edge network simulation model for knowledge diffusion through board interlocks

2020 ◽  
Vol 141 ◽  
pp. 112962
Author(s):  
C. Prem Sankar ◽  
Drisya Alex Thumba ◽  
T.R. Ramamohan ◽  
S.S. Vinod Chandra ◽  
K. Satheesh Kumar
Keyword(s):  
Simulation Model ◽  
Network Simulation ◽  
Knowledge Diffusion ◽  
Agent Based ◽  
Board Interlocks ◽  
Edge Network ◽  
Network Simulation Model

A network simulation model for police patrol vehicle maintenance and replacement analysis

1982 ◽  
Vol 7 (3) ◽  
pp. 191-196 ◽  
Author(s):  
Loren P. Rees ◽  
Edward R. Clayton ◽  
Bernard W. Taylor
Keyword(s):  
Simulation Model ◽  
Network Simulation ◽  
Police Patrol ◽  
Network Simulation Model

Port of Vancouver Rail Network Simulation Model: Planning for Intermodal Growth

Ports 2004 ◽  
2004 ◽  
Author(s):  
Robert Patton ◽  
Harold Westerman ◽  
Robert Hayter ◽  
Eric Lyman
Keyword(s):  
Simulation Model ◽  
Network Simulation ◽  
Rail Network ◽  
Network Simulation Model

Evaluation of SCATSIM–RTA Adaptive Traffic Network Simulation Model

1996 ◽  
Vol 1566 (1) ◽  
pp. 8-19 ◽  
Author(s):  
V. Ngoc Nguyen
Keyword(s):  
Simulation Model ◽  
Traffic Control ◽  
Network Simulation ◽  
Fixed Time ◽  
Traffic Network ◽  
Oxides Of Nitrogen ◽  
Traffic System ◽  
Traffic Conditions ◽  
South Wales ◽  
Network Simulation Model

The traffic network simulation model, SCATSIM, was developed by the Roads and Traffic Authority of New South Wales, Australia, as an aid to the development and improvement of the Sydney Coordinated Adaptive Traffic System (SCATS). It is capable of simulating traffic under different control techniques (such as fixed-time and SCATS adaptive control). Other traffic control systems, with known control algorithms, can also be simulated by SCATSIM. This paper is aimed at evaluating SCATSIM performance against a well-accepted analytical model, TRANSYT. Test runs demonstrate that SCATSIM is capable of simulating comprehensive traffic conditions derived from real world situations. It indicates that SCATSIM can simulate (a) traffic delay, vehicle stops, and fuel consumption within 11 percent of those predicted by TRANSYT; and (b) vehicle pollution emission (carbon monoxide, hydrocarbons, and oxides of nitrogen) within 5 percent of what is derived from TRANSYT results.

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