With the increase of urban congestion, scholars at home and abroad have paid more attention to roundabouts in recent years, which are important nodes in the urban traffic network. Much of the research on roundabouts included topics such as capacity, security, etc. Headway, an important traffic flow parameter, was also studied by some researchers. However, due to the constraints in geometric condition of roundabout and acquisition equipment, it is difficult to obtain the continuous headway data in distinct locations. Using VISSIM, a single-lane roundabout is built in this paper. Considering the geometric characteristics of the roundabout, some basic parameters of driver behavior in the simulation software are calibrated. Simulagtion experiments under different traffic conditions at four collection points near an approach are made, the results are as follows. The distributions are described in different locations and traffic conditions, and the PDF distributions are given visually with the help of the kernel density estimation method, which shows that it has a distinct headway distribution characteristic with the difference of traffic volumes and collection locations. Then, the average time headway values are analyzed, which indicate a decreasing trend with the increase of traffic flow. A fitting analysis is made between AHV and traffic volumes, and the results show that it meets a quadratic nonlinear relationship, while R² and RMSE prove that it has a good fitting effect. This paper proves the practicality of VISSIM in roundabout study, and also discusses the relationship between traffic volume and headway, which provides a beneficial trial for roundabout research.
Effect of Traffic Volume on Headways at a Single-Lane Roundabout Based on VISSIM Simulation
Second International Conference on Transportation Information and Safety ; 2013 ; Wuhan, China
ICTIS 2013 ; 565-575
11.06.2013
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Highways and roads , Transportation management , Intersections , China , Traffic congestion , Safety , Simulation , Traffic volume , Water transportation , Intelligent transportation systems , Waterways , Air transportation , Rail transportation , Human factors , Information management , Traffic management
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