Using an Adapted Classification Based on Associations Algorithm in an Activity-Based Transportation System

Intelligent Data Mining - Studies in Computational Intelligence ◽

10.1007/11004011_13 ◽

2005 ◽

pp. 253-265

Author(s):

Davy Janssens ◽

Geert Wets ◽

Tom Brijs ◽

Koen Vanhoof

Keyword(s):

Transportation System

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Warehousing and the Efficiency of the Transportation System

Traffic And Transportation Studies (2002) ◽

10.1061/40630(255)46 ◽

2002 ◽

Author(s):

Pnina O. Plaut

Keyword(s):

Transportation System

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Research on Braking Energy of High-Speed Maglev Transportation System

CICTP 2014 ◽

10.1061/9780784413623.276 ◽

2014 ◽

Cited By ~ 1

Author(s):

Yu Jin ◽

Hua Fang ◽

Ying Lin

Keyword(s):

High Speed ◽

Transportation System ◽

Maglev Transportation System

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

IEEJ Transactions on Industry Applications ◽

10.1541/ieejias.131.1059 ◽

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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PROPOSED TRANS-ALASKA INTEGRATED PIPELINE TRANSPORTATION SYSTEM

PCI Journal ◽

10.15554/pcij.09011973.18.31 ◽

1973 ◽

Vol 18 (5) ◽

pp. 18-31

Author(s):

George D. Nasser

Keyword(s):

Transportation System ◽

Pipeline Transportation

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Model for optimal transition towards a fully electric public transportation system

2020 5th International Conference on Smart and Sustainable Technologies (SpliTech) ◽

10.23919/splitech49282.2020.9243721 ◽

2020 ◽

Author(s):

Josip Vasilj ◽

Damir Jakus ◽

Petar Sarajcev ◽

Anders Grauers

Keyword(s):

Public Transportation ◽

Transportation System ◽

Public Transportation System

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Fields of spatial research on urban areas in the context of organisational solutions to new forms of transportation

Urban Development Issues ◽

10.2478/udi-2018-0023 ◽

2018 ◽

Vol 58 (1) ◽

pp. 53-60

Author(s):

Bartosz Czarnecki

Keyword(s):

Urban Areas ◽

Transportation System ◽

Present Knowledge ◽

Future Research ◽

Use Of Self ◽

Large Share ◽

Main Achievement ◽

Self Driving Cars

Abstract The paper discusses the spatial consequences of the widespread use of self-driving cars and the resulting changes in the structure of urban areas. Analysing present knowledge on the technology, functionality and future forms of organisation of mobility with this type of means of transportation, conclusions are presented concerning the expected changes in the organisation of space in urban areas. The main achievement of the investigation is an outline of the fields of future research on the spatial consequences of a transportation system with a large share of self-driving cars.

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