Optimum Model for the Layout Scheme of Traffic-Information Obtaining Stations in Highway Network

Ma, Siyuan; Jing, Chao

doi:10.1061/40932(246)575

Cited by 2 publications

(2 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…( +1)= * ( )− (10) Where is the number of iterations; ( ) represents the current position vector; * ( ) represents the vector of the optimal position; A, C, and D represent the vectors of correlation coefficients, =2 − , =2 , represents the convergence factor, =2−2 ⁄ , r1 and r2 are random numbers between 0 and 1, linearly decreases within the range of (0, 2), represents the maximum number of iterations.…”

Section: Basic Whale Optimization Algorithmmentioning

confidence: 99%

“…Chen et al [9] analyzes general principles for interchange layout planning and introduces a dual-level planning model that describes the optimization of interchange layout, considering the perspectives of both traffic planners and users. Ma et al [10] models the highway network based on graph theory, yielding an adjacency matrix for the network model. It presents three optimization models grounded in the principle of target coverage.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Research on highway network layout optimization based on improved whale optimization algorithm

Zhou,

Wu,

Zheng

et al. 2024

International Conference on Smart Transportation and City Engineering (STCE 2023)

View full text Add to dashboard Cite

Based on the establishment of node centrality, this study comprehensively considers the optimality of the highway network layout optimization model and develops a highway network layout optimization approach based on comprehensive centrality. Traditional heuristic algorithms often face challenges of falling into local optima and low solution accuracy when solving layout models. Therefore, to enhance the search and developmental capabilities of the Whale Optimization Algorithm (WOA), this research introduces a non-linear convergence factor. A case study on the optimization of the highway network layout in the Xi'an metropolitan area validates the rationality of the progressive and refined highway network layout optimization theory and methodology. The comprehensive centrality model for nodes comprehensively reflects the impact of various transportation modes around nodes on their development. This calculation, which avoids the need to determine weights, is more comprehensive and objective. The road network layout combinatorial optimization model developed in this study balances mathematical optimization principles with the rationality of layout configuration. It effectively optimizes the highway network layout to meet the requirements of an increasingly mature highway network layout, thus maximizing the scale benefits and overall efficiency of the network. This provides fresh perspectives and methodologies for highway network layout and enhances the understanding of highway network planning.

show abstract

Section: Basic Whale Optimization Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%