Computational Methods and Models for Transport - Computational Methods in Applied Sciences
Latest Publications

TOTAL DOCUMENTS

(FIVE YEARS 0)

H-INDEX

(FIVE YEARS 0)

Published By Springer International Publishing

9783319544892, 9783319544908

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Green Route Allocation in a Transportation Network

Computational Methods and Models for Transport - Computational Methods in Applied Sciences ◽

10.1007/978-3-319-54490-8_5 ◽

2017 ◽

pp. 71-86 ◽

Cited By ~ 1

Author(s):

Victor Zakharov ◽

Alexander Krylatov ◽

Dmitriy Volf

Keyword(s):

Transportation Network ◽

Green Route

Download Full-text

The Revolutionary Internet of Things

Computational Methods and Models for Transport - Computational Methods in Applied Sciences ◽

10.1007/978-3-319-54490-8_1 ◽

2017 ◽

pp. 3-16

Author(s):

Arian Razmi-Farooji

Keyword(s):

Internet Of Things

Download Full-text

Automatic Customization Framework for Efficient Vehicle Routing System Deployment

Computational Methods and Models for Transport - Computational Methods in Applied Sciences ◽

10.1007/978-3-319-54490-8_8 ◽

2017 ◽

pp. 105-120 ◽

Cited By ~ 1

Author(s):

Jussi Rasku ◽

Tuukka Puranen ◽

Antoine Kalmbach ◽

Tommi Kärkkäinen

Keyword(s):

Vehicle Routing

Download Full-text

Agile Deep Learning UAVs Operating in Smart Spaces: Collective Intelligence Versus “Mission-Impossible”

Computational Methods and Models for Transport - Computational Methods in Applied Sciences ◽

10.1007/978-3-319-54490-8_3 ◽

2017 ◽

pp. 31-53 ◽

Cited By ~ 1

Author(s):

Michael Cochez ◽

Jacques Periaux ◽

Vagan Terziyan ◽

Tero Tuovinen

Keyword(s):

Deep Learning ◽

Collective Intelligence ◽

Smart Spaces

Download Full-text

Reallocation of Logistics Costs in a Cooperative Network of Sawmills

Computational Methods and Models for Transport - Computational Methods in Applied Sciences ◽

10.1007/978-3-319-54490-8_11 ◽

2017 ◽

pp. 171-183 ◽

Cited By ~ 1

Author(s):

Patrik Flisberg ◽

Mikael Frisk ◽

Mario Guajardo ◽

Mikael Rönnqvist

Keyword(s):

Cooperative Network

Download Full-text

The Multi-period Fleet Size and Mix Vehicle Routing Problem with Stochastic Demands

Computational Methods and Models for Transport - Computational Methods in Applied Sciences ◽

10.1007/978-3-319-54490-8_9 ◽

2017 ◽

pp. 121-146 ◽

Cited By ~ 1

Author(s):

Urooj Pasha ◽

Arild Hoff ◽

Lars Magnus Hvattum

Keyword(s):

Vehicle Routing ◽

Vehicle Routing Problem ◽

Routing Problem ◽

Fleet Size ◽

Stochastic Demands ◽

Fleet Size And Mix

Download Full-text

Impact of the Heterogeneity of the Ballast on the Dynamical Behavior of the Ballast-Soil System

Computational Methods and Models for Transport - Computational Methods in Applied Sciences ◽

10.1007/978-3-319-54490-8_12 ◽

2017 ◽

pp. 185-205 ◽

Cited By ~ 1

Author(s):

Lucio De Abreu Correa ◽

Regis Cottereau ◽

Estelle Bongini ◽

Sofia Costa d’Aguiar ◽

Baldrik Faure ◽

...

Keyword(s):

Dynamical Behavior ◽

Soil System

Download Full-text

Applying Multi-objective Robust Design Optimization Procedure to the Route Planning of a Commercial Aircraft

Computational Methods and Models for Transport - Computational Methods in Applied Sciences ◽

10.1007/978-3-319-54490-8_10 ◽

2017 ◽

pp. 147-167

Author(s):

Jordi Pons-Prats ◽

Gabriel Bugeda ◽

Francisco Zarate ◽

Eugenio Oñate ◽

Jacques Periaux

Keyword(s):

Design Optimization ◽

Robust Design ◽

Route Planning ◽

Optimization Procedure ◽

Robust Design Optimization ◽

Commercial Aircraft ◽

Multi Objective

Download Full-text

Investigating Side-Wind Stability of High Speed Trains Using High Resolution Large Eddy Simulations and Hybrid Models

Computational Methods and Models for Transport - Computational Methods in Applied Sciences ◽

10.1007/978-3-319-54490-8_14 ◽

2017 ◽

pp. 223-241 ◽

Cited By ~ 1

Author(s):

Moritz M. Fragner ◽

Ralf Deiterding

Keyword(s):

High Resolution ◽

High Speed ◽

Hybrid Models ◽

Large Eddy Simulations ◽

Large Eddy ◽

High Speed Trains ◽

Wind Stability

Download Full-text

Why to Climb If One Can Jump: A Hill Jumping Algorithm for the Vehicle Routing Problem with Time Windows

Computational Methods and Models for Transport - Computational Methods in Applied Sciences ◽

10.1007/978-3-319-54490-8_6 ◽

2017 ◽

pp. 87-96

Author(s):

David Mester ◽

Olli Bräysy ◽

Wout Dullaert

Keyword(s):

Vehicle Routing ◽

Vehicle Routing Problem ◽

Time Windows ◽

Routing Problem

Download Full-text

Computational Methods and Models for Transport - Computational Methods in Applied SciencesLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Green Route Allocation in a Transportation Network

The Revolutionary Internet of Things

Automatic Customization Framework for Efficient Vehicle Routing System Deployment

Agile Deep Learning UAVs Operating in Smart Spaces: Collective Intelligence Versus “Mission-Impossible”

Reallocation of Logistics Costs in a Cooperative Network of Sawmills

The Multi-period Fleet Size and Mix Vehicle Routing Problem with Stochastic Demands

Impact of the Heterogeneity of the Ballast on the Dynamical Behavior of the Ballast-Soil System

Applying Multi-objective Robust Design Optimization Procedure to the Route Planning of a Commercial Aircraft

Investigating Side-Wind Stability of High Speed Trains Using High Resolution Large Eddy Simulations and Hybrid Models

Why to Climb If One Can Jump: A Hill Jumping Algorithm for the Vehicle Routing Problem with Time Windows

Computational Methods and Models for Transport - Computational Methods in Applied Sciences
Latest Publications