Citation

Kutz SA. Transp. Res. Rec. 1995; 1497: 112-121.

Copyright

(Copyright © 1995, Transportation Research Board, National Research Council, National Academy of Sciences USA, Publisher SAGE Publishing)

DOI

unavailable

PMID

unavailable

Abstract

Many transportation organizations are considering the use of Geographic Information System (GIS) technology for part of their overall approach to managing infrastructure data. They will often find that existing data sets developed and maintained over long periods of time may lack spatial properties needed for inclusion into the GIS environment. Even though these data sets represent the core inventory of features (highways, bridges, signals, and so on), the pre-GIS uses of the data typically never required any type of spatial information. However, most of the data sets did incorporate some type of location reference such as street and address range in urban areas or route and milepost in nonurban areas. This paper discusses the procedures used to assign spatial properties to features in one data set of highway features using an independent data set as its source of spatial information. The highway features were in an existing, nongraphic, address-delimited data set for the city of Chicago. The data set included street centerlines, bridges, viaducts, intersections, traffic signals, and vertical clearance/underpasses. The data set that contained the spatial properties was an independent base map data base of right-of-way, "midlines". The overall approach to reconciling these data sources and assigning the spatial properties of Illinois State Plane X,Y coordinates, network connectivity, and graphic representation to the highway Street Centerline features is discussed. The successful conversion achieved to date has produced a large number of valuable and useful highway features that have been loaded into the geographic data base. The difficulties encountered in matching between these two independent data sources developed by two different organizations are also presented.

Language: en

Keywords

Data processing; Intelligent vehicle highway systems; Geographic information systems; Transportation; Highway systems; Database systems; Computer graphics; Computer networks