Model of mobility demands for future short distance public transport systems

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Authors

Short distance public transport faces huge challenges, although it is very important within a sustainable transport system to reduce traffic emissions. Revenues and subsidization are decreasing and especially in rural regions the offer is constantly diminishing. New approaches for public transport systems are strongly needed to avoid traffic infarcts in urban and rural areas to grant a basic offer of mobility services for everyone. In the proposed work a demand centered approach of dynamic public transport planning is introduced which relies on regional traffic data. The approach is based on a demand model which is represented as a dynamic undirected attributed graph. The demands are logged through traffic sensors and sustainability focused traveler information systems.
OriginalspracheEnglisch
TitelConf-IRM 2016 Proceedings
Anzahl der Seiten13
VerlagAIS eLibrary
Erscheinungsdatum07.08.2016
ISBN (Print)978-0-473-35594-4
PublikationsstatusErschienen - 07.08.2016
VeranstaltungInternational Conference on Information Resources Management - Conf-IRM 2016: Digital Emancipation in a Networked Society - Cape Town, Südafrika
Dauer: 18.05.201620.05.2016
http://conf-irm2016.uct.ac.za/

    Fachgebiete

  • Entrepreneurship - Sustainable mobility, public transport, demand detection, demand model, dynamic undirected attributed graph, municipality information systems, smart city

Links

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Forschende

  1. Julia Drexhage

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