Article (Scientific journals)
Controllability of transportation networks
Rinaldi, Marco
2018In Transportation Research. Part B, Methodological, 118, p. 381-406
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Keywords :
Network-wide traffic control; Controllability; Optimisation
Abstract :
[en] Network-wide traffic control policies determine the optimal values for the different kinds of controllers equipped on a transportation network, with the objective of reducing de- lays and congestion, improving safety and reaching a target Level of Service. While models and algorithms for these problems have been extensively studied in literature, little at- tention has been devoted to investigating whether/how different locations, kinds (pricing controllers, traffic lights, ...) and amounts of controllers in a network affect the overall performance of network-wide schemes. In this work, we adapt the control-theoretical approach of controllability of complex networks to the specific instance of transportation networks, considering both propaga- tion/spillback dynamics and users’ behavior in terms of route choice. Thanks to the newly developed methodology, we then provide exact solutions to the Full Controllability Pric- ing Controller Location Problem for transportation networks. Comparing different pricing controller location policies through two artificial test cases, we empirically demonstrate how indeed the amount and kind of controllers in a network strongly affect the level of performance reachable by network-wide control policies, specifically in terms of Total Cost minimization.
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Rinaldi, Marco ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
External co-authors :
no
Language :
English
Title :
Controllability of transportation networks
Publication date :
November 2018
Journal title :
Transportation Research. Part B, Methodological
ISSN :
0191-2615
Publisher :
Elsevier, United Kingdom
Volume :
118
Pages :
381-406
Peer reviewed :
Peer Reviewed verified by ORBi
Focus Area :
Computational Sciences
Name of the research project :
AGR-3231 ConTraNet
Funders :
University of Luxembourg - UL
Available on ORBilu :
since 26 November 2018

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