Achieving Full Plan Multimodality by Integrating Multiple Incomplete Journey Planners

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00232968" target="_blank" >RIV/68407700:21230/15:00232968 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/ITSC.2015.234" target="_blank" >http://dx.doi.org/10.1109/ITSC.2015.234</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ITSC.2015.234" target="_blank" >10.1109/ITSC.2015.234</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Achieving Full Plan Multimodality by Integrating Multiple Incomplete Journey Planners

Popis výsledku v původním jazyce

Although in principle, providing a fully multimodal journey planner supporting the planning with all types of transport services and their combinations is now algorithmically possible, providing such fully multimodal journey planning in practice remainselusive. This situation is largely caused by the fact a fully multimodal journey planner requires a wealth of detailed data about all transport services and these are often difficult and/or costly to obtain. In this paper, we present a novel, elegant approach to overcome this problem. Our approach is based on journey planner integration ? it obtains a fully multimodal journey planning capability by interconnecting, in a smart way, multiple incomplete journey planners, each with only limited modal and/orgeographical coverage. The integration relies on a planning metagraph, a simplified representation of the underlying transport system which can be build with only a minimum amount of data. We have successfully tested our approach in real

Název v anglickém jazyce

Achieving Full Plan Multimodality by Integrating Multiple Incomplete Journey Planners

Popis výsledku anglicky

Although in principle, providing a fully multimodal journey planner supporting the planning with all types of transport services and their combinations is now algorithmically possible, providing such fully multimodal journey planning in practice remainselusive. This situation is largely caused by the fact a fully multimodal journey planner requires a wealth of detailed data about all transport services and these are often difficult and/or costly to obtain. In this paper, we present a novel, elegant approach to overcome this problem. Our approach is based on journey planner integration ? it obtains a fully multimodal journey planning capability by interconnecting, in a smart way, multiple incomplete journey planners, each with only limited modal and/orgeographical coverage. The integration relies on a planning metagraph, a simplified representation of the underlying transport system which can be build with only a minimum amount of data. We have successfully tested our approach in real

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proccedings of the 18th IEEE International Conference on Intelligent Transportation Systems

ISBN

978-1-4673-6595-6

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

1430-1435

Název nakladatele

IEEE

Místo vydání

Piscataway

Místo konání akce

Las Canteras

Datum konání akce

15. 9. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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