Forecast-augmented route guidance in urban traffic networks based on infrastructure observations

  • Increasing mobility and raising traffic demands lead to serious congestion problems. Intelligent traffic management systems try to alleviate this problem with optimised signalisation of traffic lights and dynamic route guidance (DRG). One solution for the former aspect is Organic Traffic Control (OTC), offering a self-organised, decentralised traffic control system. Based on OTC, this paper presents two proactive routing protocols, resembling techniques known from the Internet domain, applied to the traffic routing problem: Distance Vector Routing and Link State Routing. These protocols were adapted to utilise forecasts of traffic flows to offer anticipatory and time-dependant DRG for road users. The efficiency of these protocols is demonstrated with simulations of two Manhattan-type road networks under disturbed and undisturbed conditions. The results indicate their benefit in terms of lower travel times and emissions, even under low compliance rates.

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Metadaten
Author:Matthias Sommer, Sven TomfordeGND, Jörg HähnerORCiDGND
URN:urn:nbn:de:bvb:384-opus4-477424
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/47742
ISBN:978-989-758-185-4OPAC
Parent Title (English):Proceedings of the International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS, April 23-24, 2016, in Rome, Italy
Publisher:SciTePress
Place of publication:Setúbal
Editor:Markus Helfert, Oleg Gusikhin
Type:Conference Proceeding
Language:English
Year of first Publication:2016
Publishing Institution:Universität Augsburg
Release Date:2019/02/25
Issue:Volume 1
First Page:177
Last Page:186
DOI:https://doi.org/10.5220/0005741901770186
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Organic Computing
Nachhaltigkeitsziele
Nachhaltigkeitsziele / Ziel 11 - Nachhaltige Städte und Gemeinden
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):CC-BY-NC-ND 4.0: Creative Commons: Namensnennung - Nicht kommerziell - Keine Bearbeitung (mit Print on Demand)