Emerging research on information systems for vehicular traffic management points to self-organizing information systems built around vehicular ad-hoc networks (VANETs). VANETs provide timely broadcast and geocast capabilities for informing and managing vehicular traffic flow. This paper describes a proposed framework for querying or mining data in this environment. The paper is primarily a short conceptual piece with a simple case study to illustrate the concepts. Numerous typographical errors, misspellings, and English usage errors are annoying but not fatal flaws.

The introduction provides an overview of a possible VANET architecture that is a modification of the statistical information grid (STING) presented previously by Wang, Yang, and Muntz [1]. The approach seeks to balance both temporal and spatial aspects of the problem domain. The next two sections identify the advantageous properties of this grid structure and give a summary of related work in the literature. The fourth section describes the grid structure more formally and explains how it is constructed. The next section presents a simple case study to illustrate application of the grid structure, and the paper closes with a brief conclusion. There are seven figures, an algorithm in pseudocode, and two tables, which help the reader visualize various concepts in the paper.

Naïve readers with little or no exposures to VANETs may benefit from the paper, but experts are likely to have moved well beyond what is presented here.