Scipediacontent: Scipediacontent moved page Draft Content 796137451 to Schutter et al 2010b

2021-02-08T09:04:35Z

Scipediacontent moved page Draft Content 796137451 to Schutter et al 2010b

Scipediacontent: Created page with " == Abstract == Traffic control is an effective and also efficient approach to reduce traffic jams. To alleviate the traffic congestion in an urban traffic network, a traffic..."

2021-02-08T09:04:32Z

Created page with " == Abstract == Traffic control is an effective and also efficient approach to reduce traffic jams. To alleviate the traffic congestion in an urban traffic network, a traffic..."

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== Abstract ==

Traffic control is an effective and also efficient approach to reduce traffic jams. To alleviate the traffic congestion in an urban traffic network, a traffic control strategy that can coordinate the whole traffic network from a global point of view, is required. In this paper, an advanced control strategy, i.e. Model Predictive Control (MPC), is applied to control and coordinate urban traffic networks. However, the on-line computational complexity becomes a big challenge when the scale of the traffic network gets larger. To overcome this problem, the MPC control strategy is reformulated and solved efficiently on-line by a Mixed-Integer Linear Programming (MILP) solver. An MPC controller based on MILP is established and studied for the urban traffic network in different traffic scenarios. The simulation results show that the MILP-based MPC controller is a promising approach to reduce the on-line computational complexity of MPC controllers for urban traffic networks.

== Original document ==

The different versions of the original document can be found in:

* [http://dx.doi.org/10.1109/ICNSC.2010.5461560 http://dx.doi.org/10.1109/ICNSC.2010.5461560]

* [http://xplorestaging.ieee.org/ielx5/5456078/5461482/05461560.pdf?arnumber=5461560 http://xplorestaging.ieee.org/ielx5/5456078/5461482/05461560.pdf?arnumber=5461560],
: [http://dx.doi.org/10.1109/icnsc.2010.5461560 http://dx.doi.org/10.1109/icnsc.2010.5461560]

* [http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005461560 http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005461560],
: [https://dblp.uni-trier.de/db/conf/icnsc/icnsc2010.html#LinSXH10 https://dblp.uni-trier.de/db/conf/icnsc/icnsc2010.html#LinSXH10],
: [https://academic.microsoft.com/#/detail/1989688739 https://academic.microsoft.com/#/detail/1989688739]

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Schutter et al 2010b - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 796137451 to Schutter et al 2010b

Scipediacontent: Created page with " == Abstract == Traffic control is an effective and also efficient approach to reduce traffic jams. To alleviate the traffic congestion in an urban traffic network, a traffic..."