An Intelligent Vehicle Highway Information Management System

Shashi Shekhar, Toneluh A. Yang, Peter A. Hancock

Research output: Contribution to journalArticlepeer-review

9 Scopus citations


Abstract: An IVHS (Intelligent Vehicle Highway System) information management system obtains information from road sensors, city maps and event schedules, and generates information to drivers, pafie controllers and researchers. We extend the relational database to model traffic information in a relational database by abstract data types and triggers. Abstract data types are needed for eficient modeling of spatial and temporal information, which create inefficiencies in traditional databases. We use monotonic continuous functions to map the object locations to disk addresses to save disk space and computation time. Model of spatial data is created to efficiently process moving objects. We provide schema for IVHS databases with the relevant abstract data types. We also have a large sample of the relations needed to model IVHS data. Several interesting queries are presented to show the power of the model. Triggers are defined, using rule‐definition mechanisms to represent incident detection and warning systems. An eficient physical model with MoBiLe access method is provided.

Original languageEnglish (US)
Pages (from-to)175-198
Number of pages24
JournalComputer‐Aided Civil and Infrastructure Engineering
Issue number3
StatePublished - May 1993


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