Transportation System-of-Systems Simulator for Multimodal Demand and Emissions Forecasts

2014 ◽  
Author(s):  
Jung-ho Lewe ◽  
Holger Pfaender ◽  
Ludovic Hivin ◽  
Linyu Zhang ◽  
Dimitri N. Mavris
Keyword(s):  
Transportation System ◽  
System Of Systems

Bio-Inspired Heuristic Network Configuration in Air Transportation System-of-Systems Design Optimization

2017 ◽  
Vol 139 (8) ◽  
Author(s):  
Ibrahim M. Chamseddine ◽  
Michael Kokkolaras
Keyword(s):  
Design Optimization ◽  
Systems Design ◽  
Air Transportation ◽  
Transportation System ◽  
System Of Systems ◽  
Network Configuration ◽  
Route Network ◽  
Blackbox Optimization ◽  
City Network ◽  
Optimization Loop

Previous work in air transportation system-of-systems (ATSoSs) design optimization considered integrated aircraft sizing, fleet allocation, and route network configuration. The associated nested multidisciplinary formulation posed a numerically challenging blackbox optimization problem; therefore, direct search methods with convergence properties were used to solve it. However, the complexity of the blackbox impedes greatly the solution of larger-scale problems, where the number of considered nodes in the route network is high. The research presented here adopts a rule-based route network design inspired by biological transfer principles. This bio-inspired approach decouples the network configuration problem from the optimization loop, leading to significant numerical simplifications. The usefulness of the bio-inspired approach is demonstrated by comparing its results to those obtained using the nested formulation for a 15 city network. We then consider introduction of new aircraft as well as a larger problem with 20 cities.

Bio-Inspired Heuristic for Decoupling Network Configuration in Air Transportation System-of-Systems Design Optimization

2016 ◽  
Author(s):  
Ibrahim M. Chamseddine ◽  
Michael Kokkolaras
Keyword(s):  
Design Optimization ◽  
Systems Design ◽  
Air Transportation ◽  
Transportation System ◽  
System Of Systems ◽  
Network Configuration ◽  
Route Network ◽  
City Network ◽  
Optimization Loop ◽  
Aircraft Sizing

Previous work in air transportation system-of-systems design optimization considered integrated aircraft sizing, fleet allocation and route network configuration. The associated nested multidisciplinary formulation posed a numerically challenging optimization problem; therefore, direct search methods with convergence properties were used to solve it. However, the complexity of the blackbox is such that it impedes greatly the solution of larger-scale problems, where the number of considered nodes in the route network is high. The research presented here adopts a rule-based route network design inspired by biological transfer principles. This bio-inspired approach decouples the network configuration problem from the optimization loop, leading to significant numerical simplifications. The usefulness of the bio-inspired approach is demonstrated by comparing its results to those obtained using the nested formulation for a 15-city network. We then consider introduction of new aircraft as well as a larger problem with 20 cities.

Analysis of Traffic Congestion by Considering Merging on Entry Lines in Transportation System

2011 ◽  
Vol 131 (8) ◽  
pp. 1059-1067
Author(s):  
Takahiro Hoshino ◽  
Kazuhiro Tsuboi ◽  
Yoshio Hamamatsu
Keyword(s):  
Traffic Congestion ◽  
Transportation System
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