3G Network Mobile Vehicle Tracking and Positioning Systems Research

Yan Wen Xu; Feng Dong

doi:10.4028/www.scientific.net/AMM.744-746.1967

Paper Titles

Low-Tech Urban Solutions in Data-Based Environment – A New Concept of Sharing-Oriented Metropolitan Transportation
p.1943

The Analysis of Cars and Pedestrians Collision Based on the PC-Crash Program and MADYMO Simulation
p.1949

The Prediction of Vehicle Collision Risk in Traffic Conflict Zone Based on Bayesian Network
p.1953

Vehicle’s Model Classification Using a Vertical Stereo Camera
p.1960

3G Network Mobile Vehicle Tracking and Positioning Systems Research
p.1967

Dynamic Simulation and Optimization of Traffic Signal System
p.1971

Empirical Research on Topological Characteristics of Air Traffic Situation Network
p.1975

Relationship of Traffic Complexity and Pilot-Controller Voice Communication Load
p.1980

Resampling Methods for Solving Class Imbalance Problem in Traffic Incident Detection
p.1985

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 744-7463G Network Mobile Vehicle Tracking and Positioning...

3G Network Mobile Vehicle Tracking and Positioning Systems Research

Abstract:

To strengthen and improve the movement of cars in real-time location tracking to monitor in order to improve operational efficiency and ensure traffic safety of the vehicle is particularly urgent, global system for mobile communication system GSM (Global System of Mobile communication) has been developed to the 3G era and geographic information systems GIS (Geographic Information System) of rapid development, so that based on GPS / GSM tracking feasibility sports car positioning monitoring system design is growing. In this paper, GPS / GSM mobile vehicle as the monitoring terminal hardware platform combined with GIS positioning tracking and monitoring center software design in VC ++ environment, in order to reduce the GPS module positioning error, system application Kalman filter algorithm for GPS data filtering to increase GPS the positioning accuracy.

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Periodical:

Applied Mechanics and Materials (Volumes 744-746)

Pages:

1967-1970

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.744-746.1967

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Online since:

March 2015

Authors:

Yan Wen Xu*, Feng Dong

Keywords:

GIS, GPS, GSM, Kalman Filter Algorithm, Location Tracking, Monitoring

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