Earticle

초록

영어

Traffic congestion is on the rise due to the continuing growth of urban areas, the increasing number of vehicles, and the increasing cost of building new roads. Therefore, it is necessary to explore creative and viable solutions to traffic problems at traffic intersections. On the basis of on-site traffic data collection, the traffic model was established，by taking both vehicle and pedestrian into consideration of intersection near Songjiang University Town Station transportation hub, using VISSIM. Simulation results showed that traffic congestion was higher in Meijiabang Rd (East to West) road section, which also had higher vehicle flow disorder and lane change pattern. Correspondently, intersection optimization were done in four aspects, including traffic signal green and red light timing adjusting, adding conflict area between straight and left-turn lanes, and road section movement. After optimization, traffic congestion was reduced in this intersection, which indicated the effectiveness of optimization on traffic management in this intersection.

목차

Abstract
 1. Introduction
 2. Material and Methods
  2.1. Site
  2.2. Method
  2.3. Model Establishment
 3. Data Collection
  3.1. Data Collection
  3.2. Vehicle Flow
  3.3. Traffic Signal Timing
  3.4. Passenger Flow
 4. Simulation and Analysis
 5. Optimization and Analysis
  5.1. Optimization
  5.2. Simulation Results
 6. Conclusions
 Acknowledgments
 References

키워드

저자

• Yali Yang [ College of Automotive Engineering, Shanghai University of Engineering Science, Shanghai, 201620, P.R. China ] Corresponding author
• Guangpu Yang [ College of Automotive Engineering, Shanghai University of Engineering Science, Shanghai, 201620, P.R. China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605