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Modeling and Identification of Accident Prone Spots based on Road Prioritization using GIS


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India is experiencing increasing road traffic injuries amidst increasing motorization and urbanization in recent years. Every day, nearly enormous deaths occur on Indian roads and several are hospitalized due to road crashes. Recognizing the severity of the problem many initiatives are taken by the government and WHO to reduce the number of road casualties. The transportation framework has proven to be prime factors around financial development of the country affecting the annual GDP of our country Be that as it may, but day by day increase in road mishaps are becoming disaster to safety of transportation hampering the routine life. GIS have considered being the emerging trends in revolutionizing the whole frame work of traffic analysis and reduction in no. of accidents. The worldwide statistics show that the accidents caused due to licensed vehicles are high in developing countries of which road crashes have been appeared to cost around 1% of yearly GDP. This paper also aims to describe a web mapping technique which could act as an assistance in analyzing traffic and reducing no. of accidents.


Keywords

Web Mapping, GIS, Traffic Analysis, Road Accidents, Database.
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  • Anitha Selvasofia.S.D1, Prince Arulraj.G2, Srisanthi.V.G3, “A GIS Based Traffic Congestion Evaluation for Coimbatore City”, International Journal of ChemTech Research, Vol.10 No.8, pp 382-387, 2017.
  • Rouzbeh Shad1, Shahriar Rahimi, “Identification of Road Crash Black-Sites Using Geographical Information System”, International Journal for Traffic and Transport Engineering, Vol. 7 no.3, pp 368 – 380, 2017.
  • F. Frank Saccomanno, Liping Fu, and Rajeev K. Roy, “Geographic Information System–Based Integrated Model for Analysis and Prediction of Road Accidents”, Transportation Research Record, Paper No. 01-2214.
  • Alireza Toran Pour 1, Dr. Wen Long Yue. “The Role of Geographic Information Systems (GIS) in Road Emergency Services Location and Black Spot Studies”, ATRF 2012 Proceedings.
  • Romi Satria et al, “ GIS Tools for Analyzing Accident and Road Design: A Review”, DOI: http://dx.doi.org/10.4995/CIT2016.2016
  • Samaila Saleh, “ Geographical Information System (GIS)-Based Analysis of Road Traffic Accident Blackspots in Federal Capital Territory (F.C.T),Journal of Traffic and Logistics Engineering Vol. 2, No. 2, June 2014
  • Rokade S.a, Singh K., Katiyar S.K. and Gupta S, “Development of Accident Prediction Model”, International Journal of Advanced Engineering Technology, Vol. 1 issue 3, pp-25-40, December 2010.
  • Long Tien Truong and Sekhar V. C. Somenahalli, “Using GIS to Identify Pedestrian-Vehicle Crash Hot Spots and Unsafe Bus Stops”, Journal of Public Transportation, Vol. 14, No. 1, 2011.
  • Dr. Gufran Ahmad Ansari, Dr. M. Al-shabi. “ Modeling of Traffic Accident Reporting System through UML Using GIS” ,International Journal of Advanced Computer Science and Applications, Vol. 3, No.6, 2012
  • Sanjay Kumar Ghosh, “Traffic accident analysis for Dehradun city using GIS”, ITPI Journal, Vol. 1, issue 3, pp40-54, 2004.
  • Umesh M. Raut, Dhananjay B. Nalawade, Karbhari. V. Kale, “Mapping and Analysis of Accident Black Spot in Aurangabad City using Geographic Information System”, International Journal of Advanced Research in Computer Science and Software Engineering, Vol. 6, issue 1, January 2016.
  • S. Gopalakrishnan, “A Public Health Perspective of Road Traffic Accidents”, Journal of Family medicine and Primary care, Vol. 1, issue 2, pp-144-150, December 2012.
  • Sanjay Kumar Singh, “Road Traffic Accidents in India: Issues and Challenges”, World Conference on Transport Research - WCTR 2016 Shanghai. Pp- 4708–4719, 2017
  • Available: http://en.wikipedia.org/wik, “web mapping”.
  • Available: http://en.wikipedia.org/wik/category, “web technology”.
  • Available: http://www.indiaenvironmentalportal. org.in, “Road Accidents in India-2016”.
  • Available: http:// http://pibphoto.nic.in, “Road Accidents in India-2015”.
  • Rajiv Gupta, Manpreet Singh, “Accident Black Spot Validation using GIS”, 15th ESRI India User Conference, 2014
  • Available: http:// nhp.gov.in/road-traffic-accidents_pg [20] Available: https: //www.prsindia.org. “The Motor Vehicle Amendment – Bill 2016”.21

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  • Modeling and Identification of Accident Prone Spots based on Road Prioritization using GIS

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Authors

Shraddha K. Popat
Pune, India

Abstract


India is experiencing increasing road traffic injuries amidst increasing motorization and urbanization in recent years. Every day, nearly enormous deaths occur on Indian roads and several are hospitalized due to road crashes. Recognizing the severity of the problem many initiatives are taken by the government and WHO to reduce the number of road casualties. The transportation framework has proven to be prime factors around financial development of the country affecting the annual GDP of our country Be that as it may, but day by day increase in road mishaps are becoming disaster to safety of transportation hampering the routine life. GIS have considered being the emerging trends in revolutionizing the whole frame work of traffic analysis and reduction in no. of accidents. The worldwide statistics show that the accidents caused due to licensed vehicles are high in developing countries of which road crashes have been appeared to cost around 1% of yearly GDP. This paper also aims to describe a web mapping technique which could act as an assistance in analyzing traffic and reducing no. of accidents.


Keywords


Web Mapping, GIS, Traffic Analysis, Road Accidents, Database.

References