Urban expressway, which plays a significant role in medium-and-long distance express travel, influences transport efficiency of an area in a city. The operation efficiency of an urban expressway system can be promoted by on-ramp metering (ORM). Based on ALINEA (asservissement linéaire d'entrée autoroutière) algorithm, this paper proposed an improved ALINEA method with a wavelet neural network (WNN) optimized by chicken swarm optimization (CSO). The algorithm integrates K-means algorithm to select key-point for dynamic multiple on-ramps coordinated control. The amended ALINEA method mainly aimed at solving the problems of the in-flow of the next control period and the mainline multi-lanes condition. Simulation results demonstrated that the coordinated control algorithm proposed can increase the traffic efficiency of the urban expressway.
A prediction model with wavelet neural network optimized by the chicken swarm optimization for on-ramps metering of the urban expressway
Journal of Intelligent Transportation Systems ; 26 , 3 ; 356-365
2022-05-04
10 pages
Article (Journal)
Electronic Resource
Unknown
ALINEA , CSO , on-ramp metering , urban expressway , WNN
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