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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Road Accident Analysis and Severity prediction Model On State Highway-5 (Halol-Shamlaji Section) |
| Authors Name: | Shah Dhruvit Pankaj kumar , Dr. H.R.varia , Prof. P.M.Shah |
| Unique Id: | IJSDR1605067 |
| Published In: | Volume 1 Issue 5, May-2016 |
| Abstract: | According to MORTH-2014 India has the highest no of accidents in the World. Accident Severity has been increasing year by year. A road accident is an unplanned and uncontrolled occasion, which happened on a road open to an open activity bringing about individual harm, harms to the property and death toll in which no less than one moving vehicle was included.Rapid growth of population coupled with increased economic activities has favored in tremendous growth of motor vehicles. This is one of the primary factors responsible for road accidents. It is observed that few works have been carried out on statistical analysis of accidents particularly on Four-lane State Highway. The essential objective of this paper is to gather the road accident data of chosen stretch from Halol CH 335.800 km (SH-5) to Shamlaji CH 501.800 km (SH-5) from the L&T Toll Plaza and GSRDC office Gandhinagar and to workout purposeful examination of road accident of it and propose remedial measures too. Total 548 road crash recorded in last 24 months, 2013-2014. The collected data were analyzed to evaluate the effect of influencing parameters on accident rate. |
| Keywords: | road accident, black spot, prediction model |
| Cite Article: | "Road Accident Analysis and Severity prediction Model On State Highway-5 (Halol-Shamlaji Section)", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 5, page no.346 - 351, May-2016, Available :http://www.ijsdr.org/papers/IJSDR1605067.pdf |
| Downloads: | 000337064 |
| Publication Details: | Published Paper ID: IJSDR1605067 Registration ID:160357 Published In: Volume 1 Issue 5, May-2016 DOI (Digital Object Identifier): Page No: 346 - 351 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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