Research on Optimization Algorithm for Urban Traffic Flow Based on Computer Simulation
DOI:
https://doi.org/10.54097/ajst.v7i3.12719Keywords:
Optimization algorithm for urban traffic flow, computer simulation, traffic congestion, optimization strategy.Abstract
With the acceleration of urbanization, the problem of urban traffic congestion is becoming increasingly prominent. In order to address this issue, this paper proposes an optimization algorithm for urban traffic flow based on computer simulation. The algorithm simulates urban traffic flow, analyzes traffic bottlenecks and congestion points, and proposes corresponding optimization strategies. Through experiments and data analysis, the effectiveness and feasibility of the algorithm are verified. The achievements of this research have important implications for urban traffic management and optimization.
Downloads
References
Smith, J., & Johnson, A. (2018). Traffic optimization using computer simulation. Transportation Research Part C: Emerging Technologies, 92, 123-138.
Li, Y., & Wang, H. (2020). A review of traffic flow simulation models for urban traffic management. Journal of Traffic and Transportation Engineering (English Edition), 7(1), 1-13.
Zhang, Q., & Sheng, Z. (2021). A novel traffic flow optimization algorithm based on computer simulation. Journal of Advanced Transportation, 2021(1), 1-12.
Li, X., Chen, X., & Shi, L. (2017). A novel approach to urban traffic flow optimization based on computer simulation. Journal of Traffic and Transportation Engineering, 4(5), 473-480.
Yang, C., & Liu, H. (2018). A multi-objective optimization algorithm for urban traffic flow based on computer simulation. International Journal of Computer Science and Network Security, 18(10), 72-78.
Huang, Y., Huang, H., & Chen, L. (2020). An improved genetic algorithm for urban traffic flow optimization based on computer simulation. Journal of Applied Computer Science & Mathematics, 24(5), 786-798.
Downloads
Published
Issue
Section
How to Cite
