Skip to main content

Advertisement

SpringerLink
Log in

Development of Web Based Road Accident Data Management System in GIS Environment: a Case Study

  • SHORT NOTE
  • Published:
Journal of the Indian Society of Remote Sensing Aims and scope Submit manuscript

Abstract

An attempt has been made in the present study to develop a Geographic Information System (GIS) based user-friendly accident data management system for selected locations of Surat city, Gujarat, India. The accident data management system offers a platform to maintain and update accident database and use it for further analysis. In the present study, the GIS database has been developed with the help of MapInfo10.5, a geographic mapping and analysis tool to locate accident-prone areas quickly and accurately on a map. Accident data management system is purposely designed in a user friendly manner to suit people who are not familiar with computers and it follows Model-View-Controller (MVC) architectural pattern and is created using JSP - servlets. Major functionalities of the present system are accident data reporting as per Indian Roads Congress (IRC 53, 2012) guidelines and statistical analysis of accident data. The findings from the present study highlights the necessity of developing GIS data base and user-friendly accident data management system for effective planning, design, construction, analysis, operation, maintenance, and administration of transportation systems and facilities.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  • Baguley, C. J., & Hills, B. L. (2003). Road Accident Modeling for Highway Management and Management in Developing Countries. Transportation Research Laboratory., 269-319.

  • Baliga S., (2005) A Geographical Information System for PMGSY Grameen Sampark. Vol. 1 (3), NRRDA, New Delhi. 12–19.

  • Bhalla P., Tripathi S., & Palria S. (2014). Road Traffic Accident Analysis of Ajmer City Using Remote Sensing and GIS Technology. The ISPRS TC VIII International Symposium on “Operational Remote Sensing Applications: Opportunities, Progress and Challenges. Paper No. 545.

  • Çela L., Shiode S. & Lipovac K. (2013). Integrating GIS and Spatial Analytical Techniques in an Analysis of Road Traffic Accidents in Serbia. International Journal for Traffic and Transport Engineering, Vol. 3(1). 1–15.

  • Census of India, Government of India.(2011) http://www.censusindia.gov.in.

  • Deepti K. & Ganesh B. (2010) Identification of Accidents Hotspots: A GIS based Implementation for Kannur District Kerla. International Journal of Geomatics and Geosciences. Vol. 1 (1). 51–56.

  • Dhamaniya, A. (2013). Development of Accident Prediction Model Under Mixed Traffic Conditions: A Case Study. Urban Transportation Systems, ASCE., 124-135.

  • Dhamaniya, A. (2014). Methodology of Maintenance Criteria of PMGSY Roads in Second Phase of Planning: A Case Study. Journal of Indian Society of Remote Sensing, 42(4), 851–858.

    Article  Google Scholar 

  • Faghri, A. & N. Raman (1995). A GIS-based Traffic Accident Information System. Journal of Advanced Transportation. Vol. 29. 321–334.

  • Hasseea, R. (2003). A GIS-Based Accident System for Reducing Road Accidents. Association for European Transport, European Transport Conference, 2003.

  • Indian Roads Congress (2012). Road Accident Reporting Forms A1 and A4. 53. 1–34.

  • Liang, L. Y., Mohamad, D. M., & Hua, L. T. (2005). Traffic Accident Application Using Geographic Information System. Journal of the Eastern Asia Society for Transportation Studies. Vol., 6, 3574–3589.

    Google Scholar 

  • Mahmud R. A. & Zarrinbashar E. (2008). Intelligent GIS-Based Road Accident Analysis and Real-Time Monitoring Automated System Using WIMAX/GPRS. International Journal of Engineering., 2(1), 1–7.

  • Prasannakumar V., Vijith H., Charuthaa R. & Geetha N. (2011). Spatio-Temporal Clustering of Road Accidents: GIS Based Analysis and Assessment. Procedia Social and Behavioral Sciences Vol. 21. 317–325.

  • Regional Transport Office, Surat, Gujarat.(2011) http://www.rtosurat.gujarat.gov.in.

  • Road Accident Data Management System for Tamil Nadu. The Government of Tamil Nadu. http://www.tnhighways.gov.in/ep.athai.html.

  • Society of Emergency Medicines India.(2013) http://www.semi.org.in.

  • World Health Organization (2013). Global status report on road safety 2013: Supporting a decade of action.

Download references

Acknowledgment

The authors would like to thank honorable City Police Commissioner of Surat city for providing accident data for the present study. They would also like to thank Assistant Traffic Commissioner, Surat city and Circle Inspector of police, Umra police station, for granting the permission to collect accident data from police department.

Author information

Authors and Affiliations

  1. Civil Engineering Department, SV National Institute of Technology, Surat, Surat, Gujarat, 395007, India

    Ashish Dhamaniya, Mathew Sonu, M. Krishnanunni, Pynam Praveen & Austin Jaijin

Authors
  1. Ashish Dhamaniya
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mathew Sonu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. M. Krishnanunni
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Pynam Praveen
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Austin Jaijin
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ashish Dhamaniya.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Dhamaniya, A., Sonu, M., Krishnanunni, M. et al. Development of Web Based Road Accident Data Management System in GIS Environment: a Case Study. J Indian Soc Remote Sens 44, 789–796 (2016). https://doi.org/10.1007/s12524-016-0547-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12524-016-0547-8

Keywords

Search

Navigation