Modelling of traffic capacity under traffic accident
by Yu Ling; Zhang Pan; Yitong Zhang; Siyu Jia; Baoyun Sun; Mingxia Huang
International Journal of Simulation and Process Modelling (IJSPM), Vol. 14, No. 6, 2019

Abstract: In this paper, the traffic characteristics of urban roads under traffic accidents are analysed from three aspects: the traffic volume characteristics, the definition of accident sections and the evolution characteristics of traffic capacity. On this basis, the theoretical analysis on road traffic capacity under traffic accidents is carried out and the capacity model is established. Guided by traffic volume theory and lane-changing rules, the correction coefficients of various influencing factors are simulated by adjusting the parameters on VISSIM, and the results are used to analyse the influencing factors of traffic capacity under traffic conditions. The curve fitting of the obtained data were conducted by MATLAB, a regression model of the reduction factor of traffic capacity of urban roads under traffic accident and each influencing factor and the actual traffic capacity model are built. Taking the traffic accident on the urban roads as an example, the quantitative analysis is made on the traffic capacity of urban road under the traffic accident to verify the proposed model and the results show its effectiveness.

Online publication date: Wed, 01-Apr-2020

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Simulation and Process Modelling (IJSPM):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com