Automatic vehicle location tracking system based on GIS environment

Access Full Text

Automatic vehicle location tracking system based on GIS environment

For access to this article, please select a purchase option:

Buy article PDF
£12.50
(plus tax if applicable)
Add to cart
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)
Add to cart

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IET Software — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

© The Institution of Engineering and Technology
Published

Recently, automatic vehicle location (AVL) has become more widely used, affordable and popular than ever before. AVL is used for different tracking purposes, especially for those related to tracking one vehicle or a fleet of vehicles. Tracking system technology was made possible by the integration of three new technologies: navigational technologies such as global positioning system (GPS), database technologies such as geographic information system (GIS) and communication technology such as general packet radio service (GPRS). The proposed software design ‘tracking system’ is used to pinpoint the position, ground speed and fuel level of a given vehicle. This improves fleet management by making it secure and more efficient. The system has the ability to detect the optimal path between source and destination, depending on many factors such as travel time, jam, topography and number of traffic lights. The authors applied greedy techniques (GT) such as Dijkstra's and Kruskal's algorithms to a graph weight depending on the proposed cost function (CF). The geofencing technique is applied to the system based on real coordinates and grants security and safety to the fleet of vehicles. The designed software offers more flexibility in loading digital maps. This proposed software has the ability to visualise the real position of vehicles on maps and to take decisions according to real-time information.

Inspec keywords: geographic information systems; greedy algorithms; tracking; driver information systems; automated highways

Other keywords: software design tracking system; graph weight algorithm; geofencing technique; optimal path detection; cost function; automatic vehicle location tracking system; real-time information; database technologies; digital map; geographic information system; Global Positioning System; greedy techniques; GIS environment; general packet radio service

Subjects: Traffic engineering computing; Geography and cartography computing

References

    1. 1)
      • (1999) Complete tracking solutions.
    2. 2)
      • J.B. Tsui . (2000) Fundamentals of global positioning system receivers.
    3. 3)
      • Catalina, A.: `Blind pedestrian navigator: operating features', Performance and EGNOS/SISNeT benefits, 2003, GNSS, Graz, Austria.
    4. 4)
      • Data communication and automatic vehicle location system “GPS-AVL”, (Alsi-Asia-page Ltd., 2004).
    5. 5)
      • Retscher, G., Mok, E.: `Integration of mobile phone location services into intelligent GPS vehicle navigation systems proceedings', 3rdInt. Symp. Mobile Mapping Technology, 2001, Cairo, Egypt, p. 3–5.
    6. 6)
      • E. Naplleon , R. Burke , C. Groessl , L. Feaster . (2001) Getting to know ArcGIS desktop.
    7. 7)
      • A. Leick . (2004) GPS satellite surveying.
    8. 8)
      • P. Nicopolitidis , M.S. Obaidat , G.I. Papadimitriou , A.S. Pomportsis . (2003) Wireless networks.
    9. 9)
      • R. Chakravorty , J. Cartwright , I. Ian Pratt . (2000) Practical experience with TCP over GPRS.
    10. 10)
      • O. Al-Bayari , B. Sadoun . New centralized automatic vehicle location communications software system under GIS environment. Int. J. Commun. Syst. , 833 - 846
    11. 11)
      • W. Stallings . (2000) Data and computer communications.
    12. 12)
      • K.C. Clarke . (2003) Getting started with geographic information system.
    13. 13)
      • G. Brahim , L. Luigi . Understanding GPRS: the GSM packet radio service. Comput. Netw. J. , 5 , 763 - 779
    14. 14)
      • A. Leviten . (2002) Introduction to the design and analysis of algorithms.
    15. 15)
      • J. Bannister , P. Mather , S. Coope . (2002) Convergence technologies for 3G networks.
    16. 16)
      • G.P.S. Hofmann . (1997) Theory and practice.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-sen.2008.0048
Loading

Related content

content/journals/10.1049/iet-sen.2008.0048
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading