A Data-Driven Functional Classification of Urban Roadways Based on Geometric Design, Traffic Characteristics, and Land Use Features

Mostafa Mehdian,Ali Abdi Kordani,Hamid Mirzahossein,Alessandro Severino

doi:10.1155/2022/9970464

Abstract

The functional classification system (FCS) of roads means categorizing roads based on their service characteristics. The two primary considerations in classifying highway and street networks are accessibility and mobility, where by increasing the role of one, the other’s role is reduced. In this paper, besides the conventional variables such as geometric design characteristics, parking lots, land use features, and accessibility; the Sydney Coordinated Adaptive Traffic System (SCATS) data following the real-time traffic flow and average speed of vehicles collected by Location-Based Services (LBS) are considered as new variables for estimating the FCS. Linear regression is used to model the importance of the variables. The chi-square test compared the observational and predicted speeds in the five categories of roads in Tehran, the capital of Iran. Results show that on-street parking has the highest impact and the land use variable has the lowest impact on speed that changes the FCS. Moreover, the presented classification was one to two categories compared with the conventional FCS presented in manuals in the case of Tehran’s transportation network as a developing city.

Highlights

Various functional classification systems (FCS) are defined based on different criteria including road geometry design, volume and type of traffic, and origin-destination (OD) of trips. ese are beneficial in developing the standard road network
The data of real-time traffic characteristics have been used in addition to the conventional data like roadway’s geometric design features. e roadway data for geometric design features are the angle of access, total ramp density, number of lanes, on-street parking, deceleration and acceleration lanes, and types of land usage
Land use had the lowest impact on the dependent variable. e standard regression coefficient of this variable is positive

Summary

Introduction

Various functional classification systems (FCS) are defined based on different criteria including road geometry design, volume and type of traffic, and origin-destination (OD) of trips. ese are beneficial in developing the standard road network. Various functional classification systems (FCS) are defined based on different criteria including road geometry design, volume and type of traffic, and origin-destination (OD) of trips. Ese are beneficial in developing the standard road network. Roads can have a functional classification that expresses their functional importance in the whole network. Classifying volume and type of roads can be presented as a result of traffic assignment. According to the two types of services that roads carry out, two main criteria are used to classify them, which are accessibility and mobility level. These are two criteria by which different types of roads are created based on changes in each of them [2]. These are two criteria by which different types of roads are created based on changes in each of them [2]. e two criteria of accessibility and mobility are inversely related, so increasing accessibility means reducing mobility and vice versa

Methods

Results

Conclusion