The traffic capacity model M/G/1 simulated by the Monte Carlo algorithm

Author

Jiafu Yin

Author_Institution

Sch. of Electr. Eng., North China Electr. Power Univ., Baoding, China

Volume

1

fYear

2014

fDate

26-28 April 2014

Firstpage

287

Lastpage

290

Abstract

This paper presents a queuing theory M/G/1 model to describe the traffic flow at urban roads. Considering the lanes occupation rate, the input of the vehicle from previous road section and other influence factors, Based on the actual statistical data, Monte Carlo algorithm is used to simulate the traffic flow model M/G/1, to optimize the parameters. Compared with the actual data, the simulated results demonstrate that the proposed model can estimate the influence of carriageways occupation on urban traffic capacity accurately.

Keywords

Monte Carlo methods; queueing theory; road traffic; M/G/1 traffic capacity model; Monte Carlo algorithm; carriage ways occupation; lane occupation rate; queuing theory; road section; statistical data; traffic flow model simulation; urban roads; urban traffic capacity; Accidents; Bayes methods; Computational modeling; Mathematical model; Monte Carlo methods; Queueing analysis; Vehicles; M/G/1 model; Monte Carlo algorithm; queue theory; traffic capacity;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Science, Electronics and Electrical Engineering (ISEEE), 2014 International Conference on

Conference_Location

Sapporo

Print_ISBN

978-1-4799-3196-5

Type

conf

DOI

10.1109/InfoSEEE.2014.6948116

Filename

6948116