Reducing Traffic Congestion in Urban Areas via Real-Time Re-Routing: A Simulation Study
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F20%3A00347195" target="_blank" >RIV/68407700:21230/20:00347195 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-3-030-64984-5_6" target="_blank" >https://doi.org/10.1007/978-3-030-64984-5_6</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-64984-5_6" target="_blank" >10.1007/978-3-030-64984-5_6</a>
Alternative languages
Result language
angličtina
Original language name
Reducing Traffic Congestion in Urban Areas via Real-Time Re-Routing: A Simulation Study
Original language description
Traffic congestion problems of urban road networks are having a strong impact on economy, due to losses from accidents and delays, and to public health. The recent progress in connected vehicles is expanding the approaches that can be exploited to tackle traffic congestion, particularly in urban regions. Connected vehicles pave the way to centralised real-time re-routing, where a urban traffic controller can suggest alternative routes to be followed in order to reduce delays and mitigate congestion issues in the network. In this work, we introduce a centralised architecture and we compare in simulation a number of approaches that can be exploited for re-routing vehicles.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA18-07252S" target="_blank" >GA18-07252S: MoRePlan: Modeling and Reformulating Planning Problems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
AI 2020: Advances in Artificial Intelligence
ISBN
978-3-030-64983-8
ISSN
0302-9743
e-ISSN
0302-9743
Number of pages
13
Pages from-to
69-81
Publisher name
Springer
Place of publication
Cham
Event location
Canberra
Event date
Nov 29, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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