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 language | English |
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Title of host publication | 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 |
Publisher | IEEE |
Pages | 1788-1795 |
Number of pages | 8 |
ISBN (Electronic) | 9781479960781 |
DOIs | |
Publication status | Published - 14 Nov 2014 |
Externally published | Yes |
Event | 17th International IEEE Conference on Intelligent Transportation Systems, IEEE ITSC 2014 - Qingdao, China Duration: 8 Oct 2014 → 11 Oct 2014 Conference number: 17 |
Conference
Conference | 17th International IEEE Conference on Intelligent Transportation Systems, IEEE ITSC 2014 |
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Abbreviated title | IEEE ITSC |
Country/Territory | China |
City | Qingdao |
Period | 8/10/14 → 11/10/14 |