DocumentCode :
2737811
Title :
Integrated network Linear-Quadratic Model Predictive Control for disturbance on freeways
Author :
Yu Han ; Yufei Yuan ; Hoogendoorn, Serge
Author_Institution :
Dept. Transp. & Planning, Delft Univ. of Technol., Delft, Netherlands
fYear :
2015
fDate :
9-11 April 2015
Firstpage :
521
Lastpage :
526
Abstract :
We propose an integrated approach for dynamic route guidance and ramp metering using Linear Quadratic Model Predictive Control (LQMPC). The main objective is to maximize the throughput of the network by guiding traffic flow towards insufficiently utilized infrastructures. Due to the linear property of the LQMPC, it is fast enough for real-time online traffic control with a short control step (30 second for example). Simulation results from a case study demonstrate that the proposed traffic control approach has great potential to solve congestion when disturbances occur on freeways.
Keywords :
linear quadratic control; optimisation; predictive control; road traffic control; LQMPC; dynamic route guidance; freeways; linear-quadratic model predictive control; ramp metering; real-time online traffic control; Prediction algorithms; Predictive models; Vehicle dynamics; freeway disturbance; model predictive control; ramp metering; route guidance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networking, Sensing and Control (ICNSC), 2015 IEEE 12th International Conference on
Conference_Location :
Taipei
Type :
conf
DOI :
10.1109/ICNSC.2015.7116091
Filename :
7116091
Link To Document :
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