Opportunistic solution-space reduction techniques for reducing the time complexity of Dynamic Speed Control with microsimulation on motorways

Konstantinos Gkiotsalitis, Francesco Alesiani

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)

Abstract

Dynamic Speed Control (DSC) on motorways can be enhanced by using models with higher granularity for capturing the evolution of traffic flow. Nonetheless, the required number of micro-simulation runs for reaching an optimal DSC solution and their computational complexity hinder the use of micro-level models for DSC on large-scale motorways. The present study introduces a set of techniques that reduce the number of required micro-simulations, thus improving the computational cost. The proposed techniques: 1) split the motorway into stretches; 2) introduce an approach based on genetic algorithms to reduce the number of micro-simulations; 3) exclude, when possible, VMS combinations by applying solution approximation methods instead of micro-simulation. The method is evaluated through a number of test scenarios in a stretch of motorway A6 in the Netherlands

Original languageEnglish
Title of host publication2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014
PublisherIEEE
Pages1788-1795
Number of pages8
ISBN (Electronic)9781479960781
DOIs
Publication statusPublished - 14 Nov 2014
Externally publishedYes
Event17th International IEEE Conference on Intelligent Transportation Systems, IEEE ITSC 2014 - Qingdao, China
Duration: 8 Oct 201411 Oct 2014
Conference number: 17

Conference

Conference17th International IEEE Conference on Intelligent Transportation Systems, IEEE ITSC 2014
Abbreviated titleIEEE ITSC
CountryChina
CityQingdao
Period8/10/1411/10/14

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    Gkiotsalitis, K., & Alesiani, F. (2014). Opportunistic solution-space reduction techniques for reducing the time complexity of Dynamic Speed Control with microsimulation on motorways. In 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 (pp. 1788-1795). [6957952] IEEE. https://doi.org/10.1109/ITSC.2014.6957952