Obálka

State-Aware Graph Dynamics for Urban Transport Systems with Topology-Based Rate Modulation

Uloženo v:
Vydáno v:Mathematics vol. 13, no. 16 (2025), p. 2574-2597
Hlavní autor: Shi, Yiwei
Další autoři: Li, Chunyu, Wang, Wei, Hu Yaowen
Vydáno:
MDPI AG
Témata:
Baltimore Maryland
United States > US
Safety programs
Public transportation
Bridge failure
Optimization techniques
Transportation networks
Traffic flow
Traffic assignment
Multiple objective analysis
Transport buildings, stations and terminals
Energy consumption
Traffic congestion
Network topologies
Optimization models
Innovations
Quality of life
Fatalities
Cluster analysis
Genetic algorithms
Infrastructure
User satisfaction
Clustering
Traffic accidents & safety
Traffic management
Sustainability
Traffic control
Transportation systems
Well being
Connectivity
Algorithms
Construction costs
Cities
Vector quantization
Urban transportation
On-line přístup:Citation/Abstract
Full Text + Graphics
Full Text - PDF
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Abstrakt:We introduce a novel optimization method, the Bud Lifecycle Algorithm (BLA), and present a mathematical model for optimizing urban transportation systems, demonstrated through a Baltimore case study. Our approach centers on the Proximity Topology Attribute Model, which integrates topological graph properties with K-means clustering to partition city nodes and identify key activity areas via betweenness centrality. A simulated bridge collapse reveals significant impacts on insurance companies and transport users. To balance traffic efficiency with construction costs in public transport projects, we propose a multi-objective optimization model prioritizing transit hubs while minimizing expenses in congested zones. We introduce the Bud Lifecycle Algorithm (BLA) to enhance traditional Genetic Algorithm performance, achieving improvements in system coverage, cost-efficiency, and user satisfaction. Our findings suggest that expanding public transport networks and optimizing rail projects could substantially boost employment and tourism in West Baltimore. We propose the Smart Traffic Management System (STMS) and Community Traffic Safety Program (CTSP) to enhance traffic safety, reduce congestion, and improve residents’ quality of life.
ISSN:2227-7390
DOI:10.3390/math13162574
Zdroj:Engineering Database