(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...") |
m (Scipediacontent moved page Draft Content 796137451 to Schutter et al 2010b) |
(No difference)
| |
Latest revision as of 10:04, 8 February 2021
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:
Document information
Published on 31/12/09
Accepted on 31/12/09
Submitted on 31/12/09
Volume 2010, 2010
DOI: 10.1109/icnsc.2010.5461560
Licence: CC BY-NC-SA license
Share this document
claim authorship
Are you one of the authors of this document?