Print Email Facebook Twitter A topological approach for identifying pricing controller locations to ensure controllability of transportation networks Title A topological approach for identifying pricing controller locations to ensure controllability of transportation networks Author Mazur, Xavier (University of Luxembourg) Rinaldi, M. (TU Delft Transport and Planning) Connors, Richard D. (University of Luxembourg; University of Leeds) Viti, Francesco (University of Luxembourg) Date 2022 Abstract To use efficiently the infrastructure of transportation networks, control strategies have been developed with the aim to reduce negative externalities, such as congestion and pollutant emissions. Previous works demonstrated that the maximum performance achievable by traffic control policies depends on the number and location of controllers employed, which implies the need to determine a set of controllers capable of fully controlling the underlying transportation network. Various approaches have been explored in the literature to locate controllers on networks, however a gap remains in terms of scalability as the methods proposed often exhibit heavy computational complexity. In this paper we aim to propose an approach capable of locating pricing controllers on transportation networks that is scalable, such that it can be applied on large instances, such as city-sized or regional networks. For this purpose, we propose a topology-based approach, adapted from the sensor location problem, as both problems share similar characteristics. We validate our proposed approach by analyzing the performance of controller sets produced on a wide range of artificially generated network ensembles. The analysis we provide reveals that the method proposed, while being easily applicable on large instances, is capable to locate an efficient controller set, and to redirect flows on the network so as to reduce the total time spent by road users. Subject ControllabilityController locationMinimum spanning treePricing controllerTransportation network To reference this document use: http://resolver.tudelft.nl/uuid:560fb291-96b9-4a87-b501-78c5c40c96a1 DOI https://doi.org/10.1016/j.ejtl.2022.100078 ISSN 2192-4376 Source EURO Journal on Transportation and Logistics, 11 Part of collection Institutional Repository Document type journal article Rights © 2022 Xavier Mazur, M. Rinaldi, Richard D. Connors, Francesco Viti Files PDF 1_s2.0_S2192437622000061_main.pdf 2.49 MB Close viewer /islandora/object/uuid:560fb291-96b9-4a87-b501-78c5c40c96a1/datastream/OBJ/view