Statistical estimation of traffic volume for the Minneapolis-St Paul Metropolitan area

Hitalo J.B. Nascimento

Multiple Linear Regression, Queueing Queuing, Urban Traffic Management.

In this work we propose a multiple linear regression model to describe the relationship between traffic volume in the Minneapolis-St Paul metropolitan area as a function of several variables, which include weather conditions and holiday occurrences. Additionally, we present an analysis for a queue model with a general arrival process, denoted by (G/M/1) : (∞/FIFO). Our results indicate that the uniform distribution is more suitable to model the process of vehicle arrivals.

Received: 28 Oct 2022, Receive in revised form: 15 Nov 2022, Accepted: 21 Nov 2022, Available online: 27 Nov 2022

10.22161/ijaers.911.48