Supervisory Multi-Class Event-Triggered Control for Congestion and Emissions Reduction in Freeways

被引:0
|
作者
Pasquale, C. [1 ]
Sacone, S. [1 ]
Siri, S. [1 ]
Ferrara, A. [2 ]
机构
[1] Univ Genoa, Dept Informat Bioengn Robot & Syst Engn, Genoa, Italy
[2] Univ Pavia, Dept Elect Comp & Biomed Engn, Pavia, Italy
关键词
CONTROL SCHEME; TRAFFIC FLOW; MODEL;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The paper addresses the problem of regulating traffic in freeway networks via multi-class ramp metering with the objective of reducing both congestion and traffic emissions. The proposed control scheme includes a supervisor, acting at a higher level, which receives measurements from the network and periodically makes a prediction on the system evolution. At the lower level, local feedback controllers compute the control action on the basis of measurements in a neighbourhood of the on-ramp. The neighbourhood is communicated by the supervisor in real time, according to an event-triggered logic. The effectiveness of the proposed control scheme is assessed through simulation results, properly discussed in the paper.
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页数:6
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