A prediction model with wavelet neural network optimized by the chicken swarm optimization for on-ramps metering of the urban expressway. Issue 3 (4th May 2022)

• Record Type: Journal Article
• Authors: Ci, Yusheng; Wu, Hailong; Sun, Yichen; Wu, Lina
• Is Part Of: Journal of intelligent transportation systems. Volume 26:Issue 3(2022)
• Page Start: 356
• Page End: 365
• Publication Date: 2022-05-04
• Subjects: ALINEA -- CSO -- on-ramp metering -- urban expressway -- WNN; Intelligent transportation systems -- Periodicals; Transportation -- Technological innovations -- Periodicals; 388.312
• DOI: 10.1080/15472450.2021.1890070
• Languages: English
• ISSNs: 1547-2450

Abstract

Abstract: 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.