In this paper we propose an intelligent data processing engine for spatial data management. The spatial data management scheme is being applied to vehicular telematics system. In this paper we also propose the data model for database management of spatiotemporal resource information in centralized telematics system. The platform includes spatiotemporal resource data model, its corresponding entity relationship model, and query model for information prioritization. The proposed query model and its queries provide incentive for peers to participate as information suppliers and intermediaries, information usage strategies, and transaction management. The proposed system has the potential to create a completely new information marketplace. The paper shows how the central call server, call customer, and empty taxi co-ordinates together. With this designed model we have a central call server that works in response to the customer call as well as for an empty taxi. Location history data are required for the central call server to provide the map display of needy customer spot to an empty taxi. Location tracker tracks the location of the taxi and stores it in in-memory structure which provides a history of location traveled by the taxi as to use it in future to generate reports which helps in post accident analysis. Other mechanism such as state tracer and pickup pattern provides further analysis information of the taxi location and speed.
[1]
Sajal K. Das,et al.
LeZi-update: an information-theoretic approach to track mobile users in PCS networks
,
1999,
MobiCom.
[2]
Christopher Rose,et al.
Wireless subscriber mobility management using adaptive individual location areas for PCS systems
,
1998,
ICC '98. 1998 IEEE International Conference on Communications. Conference Record. Affiliated with SUPERCOMM'98 (Cat. No.98CH36220).
[3]
Andrey V. Savkin,et al.
Mobility modelling and trajectory prediction for cellular networks with mobile base stations
,
2003,
MobiHoc '03.
[4]
Pankoo Kim,et al.
A Telematics Service System Based on the Linux Cluster
,
2007,
International Conference on Computational Science.
[5]
John Krumm,et al.
Data Store Issues for Location-Based Services
,
2005,
IEEE Data Eng. Bull..
[6]
Kentaro Toyama,et al.
Project Lachesis: Parsing and Modeling Location Histories
,
2004,
GIScience.
[7]
Gyung-Leen Park,et al.
Design and Implementation of a Tour Planning System for Telematics Users
,
2007,
ICCSA.