Earticle

초록

영어

Urban expressway plays an important role in the urban road network. It is gradually shifting from large-scale infrastructure-oriented to refinement of traffic management. In order to improve the efficiency and safety of urban expressway, macroscopic dynamic traffic flow model is extended under speed guidance control. Multi-objective optimization model is established based on the total travel time of vehicles and the value of speed guidance changes. Three scenarios are carried out with Strength Pareto Evolutionary Algorithm. The optimal scenario is adopted based on set theory then the best solution is determined. Simulation analysis is carried out in simulation platform under the optimal solution. The results show that speed guidance control has a good effect to smooth traffic flow, alleviate traffic congestion and improve traffic safety which can be applied in practice to provide a theoretical support for active traffic management.

목차

Abstract
 1. Introduction
 2. Dynamic Traffic Flow Model
 3. Model Parameter Calibration
 4. Multi-objective Optimization
 5. Surrogate Safety Assessment Model [14]
 6. Simulation Analysis and Results
 Acknowledgements
 References

키워드

저자

• Dashan Chen [ School of Transportation Engineering, Huaiyin Institute of Technology, Jiangsu Huai’ an 223003, China ]
• Liguo Xia [ School of Transportation Engineering, Huaiyin Institute of Technology, Jiangsu Huai’ an 223003, China ]
• Dayuan Guo [ School of Transportation Engineering, Huaiyin Institute of Technology, Jiangsu Huai’ an 223003, China ]
• Xu Bao [ School of Transportation Engineering, Huaiyin Institute of Technology, Jiangsu Huai’ an 223003, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605