01553669

Component

Horizontal curves have been associated with vehicle crashes and accidents on the roadways. The identification and extraction of road horizontal curve parameters therefore has potential applications in the identification of high risk locations and evaluation of the safety performance of roads. A simple methodology to extract horizontal curve parameters and classify both horizontal curves and vertical grades using vehicle collected road inventory data and Highway Performance Monitoring System (HPMS) classification schemes is presented. The method developed, referred to as the per point classification method, extracts horizontal curve parameters using vehicle heading data and equations for a simple circular horizontal curve. Smoothing techniques are applied to the heading data to remove anomalies and extremities before horizontal curve parameter extraction is executed. The method is validated using curves from the design drawings of two routes in Connecticut (CT). In addition to the extraction of horizontal curve parameters and classification of horizontal curves and vertical grades, the length of each horizontal curve and vertical grade type within HPMS designated sections of the different routes within inventory data are extracted. The classification and length extraction of horizontal curves and vertical grades types are automated and deployed in two standalone MATLAB executable applications for fast and efficient processing of the data.

This paper was sponsored by TRB committee AFB80 Geospatial Data Acquisition Technologies in Design and Construction. Alternate title: Automated Horizontal Curve Classification and Parameter Calculation Methods Using Vehicle Collected Road Inventory Data.

01550057

15-4700

English

16p

2015

Transportation Research Board 94th Annual Meeting

Digital/other

Figures; References; Tables

Geometric design; Highway curves; Highway design; Length; Validation

Highway Performance Monitoring System; MATLAB (Computer program)

Data smoothing; Horizontal curvature; Vertical grade

Connecticut

Data and Information Technology; Design; Highways; I21: Planning of Transport Infrastructure

Transportation Research Board Annual Meeting 2015 Paper #15-4700

TRIS, TRB, ATRI

Dec 30 2014 1:33PM