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http://www.iaeme.com/IJMET/index.asp 194 editor@iaeme.com
International Journal of Mechanical Engineering and Technology (IJMET)
Volume 8, Issue 2, February 2017, pp. 194–197 Article ID: IJMET_08_02_023
Available online at http://www.iaeme.com/IJMET/issues.asp?JType=IJMET&VType=8&IType=2
ISSN Print: 0976-6340 and ISSN Online: 0976-6359
© IAEME Publication
PATTERN OF ROAD TRAFFIC ACCIDENT: A CASE
STUDY OF HAMIRPUR DISTRICT IN HIMACHAL
PRADESH (H.P)
Sandeep Panchal
Lecturer, CED, NIT Hamirpur, Himachal Pradesh, India
Lalit Singh Rawat
M.Tech Scholar, CED, NIT Hamirpur, Himachal Pradesh, India
ABSTRACT
A road accident pattern study is useful in indentifying the causes of road accidents. In the
present study Hamirpur district in Himachal Pradesh is selected for identification of the
pattern of road accidents. The accidents data of the study area has been collected for past 6
years which include the accident particulars like day, date and time of the accident location,
police station, number of vehicle involved, injury and number of person dead or injured. From
the data collected, the accident pattern is studied and the causes of accidents along various
road stretches are identified. It is found that 20% of the accidents took place at 3pm to 6pm of
the day and these are the peak hours of the day, also the most accidents took place in year
2013.
Key words: traffic, accidents, injuries, accident pattern.
Cite this Article: Sandeep Panchal and Lalit Singh Rawat. Pattern of Road Traffic Accident:
A Case Study of Hamirpur District in Himachal Pradesh (H.P). International Journal of
Mechanical Engineering and Technology, 8(2), 2017, pp. 194–197.
http://www.iaeme.com/ijmet/issues.asp?JType=IJMET&VType=8&IType=2
1. INTRODUCTION
With the development and globalization worldwide there is a need of dense road networks which
could connects one place to another and hence there is a increase in the vehicles and hence results in
increase in road accidents around the world. An estimated 65% rise in the number of accidents is
expected over the next 20 years unless new prevention actions are taken (Gundogdu; 2009). In India
over 1300000 persons are seriously injured on Indian road every year. India share 1% of the total
vehicle present in the world but bears the burden of 6% of the total global vehicular accidents occurred
in the world. In Himachal Pradesh, an average of 1350 traffic accidents occurs on national highways in
which around 34.3 persons are killed per 100 persons, out of these 100 accidents 83 traffic accidents
have occurred due to defect in road conditions.
According to WHO (2004) it should be noted that road accidents are a result of the combined
effects of three factors, which are given below.
The road user characteristic
The vehicular characteristic
Sandeep Panchal and Lalit Singh Rawat
http://www.iaeme.com/IJMET/index.asp 195 editor@iaeme.com
The environment includes the Road Environment and supervision of the system (Martin; 1993).
The road safety can be illustrated in the literature as three E’s which are enforcement, engineering and
education. There should be mutual collaboration between these three E’s for improving the level of
road safety.
2. METHODOLOGY
The study was conducted in Hamirpur district and accidental data is collected from the police
department of Hamirpur. Also the field survey of the accidental location is done at different months of
the year. The study is made for the reasons behind these accidents. The field survey of the traffic is
also done at the prime locations. To collect traffic accidents data also questionnaire survey is
conducted at different locations.
3. RESULTS AND ANALYSIS
The past six years traffic crashes, data has been collected from the police station of the Hamirpur
district. This data contains the information related to date of accident, day and time of accident; police
station belongs to the type of vehicle involved, number of vehicles involved, type of injury and
number of male/female/child dead or injured.
Table 1 Accidental Data of Previous Years
S. No. Years No of Accidents Death Grievous Injury Minor Injury
1. 2008 42 5 2 48
2. 2009 34 8 10 32
3. 2010 53 7 9 62
4. 2011 25 5 3 33
5. 2012 43 13 8 80
6. 2013 44 11 3 65
Figure 1 Number of accident Vs Timings
It has been observed that maximum number of accidents occur during 2:00 PM to 10:00 PM and
may be attributed to the combined rush of shopping, office coming hour rush, evening hour rush along
with poor lighting.
0
5
10
15
20
25
2008 2009 2010 2011 2012 2013
10:00AM - 2:00PM 2:00PM - 6:00PM
6:00PM - 10:00PM 10:00PM - 6:00AM
PEAK
HOUR
Pattern of Road Traffic Accident: A Case Study of Hamirpur District in Himachal Pradesh (H.P)
http://www.iaeme.com/IJMET/index.
Fig
Monthly wise accidental data have been collected and it is noted that the most of accidents take
place is in the month of November.
November month is due to foggy weather.
landslides in rainy season.
Figure 3
It is noted that the number of crashes is more in 2010, and 2011 has
whereas 2008, 2012, and 2013 have approxi
number of injured people in 2012 with respect to 2010, where the number of crashes is more than
2012. Also the number death is increased in 2012, and 2013.
4. CONCLUSION
In the present work it is tried to study the pattern of accidents in the study area. It can be concluded
that the foggy weather and the carelessness of drivers is a factor that contributes in the accidents.
accident patterns of accidents are important to study and these outputs can
planners. If the factors can be studied in more details these can be used for designing of special
vehicles for hilly regions.
0
5
10
15
20
25
30
35
0
10
20
30
40
50
60
70
80
90
2008
No of Accidents
Pattern of Road Traffic Accident: A Case Study of Hamirpur District in Himachal Pradesh (H.P)
IJMET/index.asp 196
Figure 2 Monthly variation of accidents
wise accidental data have been collected and it is noted that the most of accidents take
place is in the month of November. The reason behind the more number of accidents during
November month is due to foggy weather. In march, April and may the accidents increases due to
Yearly Variation of Crashes and Injury Details
he number of crashes is more in 2010, and 2011 has a minimum number
whereas 2008, 2012, and 2013 have approximately the same number of accidents
in 2012 with respect to 2010, where the number of crashes is more than
2012. Also the number death is increased in 2012, and 2013.
d to study the pattern of accidents in the study area. It can be concluded
that the foggy weather and the carelessness of drivers is a factor that contributes in the accidents.
accident patterns of accidents are important to study and these outputs can
planners. If the factors can be studied in more details these can be used for designing of special
2009 2010 2011 2012 2013
No of Accidents Death Grievous Injury Minor Injury
Pattern of Road Traffic Accident: A Case Study of Hamirpur District in Himachal Pradesh (H.P)
editor@iaeme.com
wise accidental data have been collected and it is noted that the most of accidents take
The reason behind the more number of accidents during
cidents increases due to
a minimum number of crashes
accidents. But there is more
in 2012 with respect to 2010, where the number of crashes is more than
d to study the pattern of accidents in the study area. It can be concluded
that the foggy weather and the carelessness of drivers is a factor that contributes in the accidents. The
accident patterns of accidents are important to study and these outputs can be used by highway
planners. If the factors can be studied in more details these can be used for designing of special
2013
Minor Injury
Sandeep Panchal and Lalit Singh Rawat
http://www.iaeme.com/IJMET/index.asp 197 editor@iaeme.com
REFERENCES
[1] Affum, J.K., Taylor, M.A., 1997. SELATM – “A GIS Based Program for Evaluating the Safety
Benefits of Local Area Traffic Management Schemes”. Transportation Planning and Technology
21, 93–119.
[2] Anderson Τ., 2006, “Comparison of Spatial Methods for Measuring Road Accident ‘Hotspots’: A
Case Study of London”, Journal of Maps, New Zealand.
[3] Erdogan, S., Yilmaz, I., Baybura, T. & Gullu, M., 2008.“Geographical Information Systems Aided
Traffic Accident Analysis System Case Study: City of Afyonkarahisar”, Accident Analysis and
Prevention, Vol. 40, p. 174-81. Epub2007 Jun 15.
[4] Faghri, A. and Raman, N. (1995). A GIS-based Traffic Accident Information System. Journal of
Advanced Transportation.29:321-334.
[5] G, Apparao. Mallikarjunareddy, P., Raju, SSSV, G., 2013. “Identification of Accident Black Spots
for National Highway Using GIS”, International Journal of Scientific & Technology Research
Volume 2, Issue 2
[6] Islam M. Abo Elnaga, Development of Traffic Accidents Prediction Models at Rural Highways in
Egypt. International Journal of Civil Engineering and Technology, 5 (6), 2014, pp. 16-24.
[7] Gharaibeh, N. G., Hicks, J.E. and J. P. Hall (1997).Analysis of Accident, Traffic, and Pavement
Data. Traffic Congestion and Traffic Safety in the 21st Century 396-402.
[8] Ghosh, S. K., Parida, M. and Uraon J. K. (2004).Traffic Accident Analysis for Dehradun City using
GIS. Institute of Town Planners, India (ITPI) Journal; 1 : 3 (2004) 40-54
[9] B.Naga Kiran, Dr. N. Kumara Swamy and Dr. C. Sashidhar, Prediction of Road Accident
Modelling For Indian National Highways. International Journal of Civil Engineering and
Technology, 8(1), 2017, pp. 789–802.
[10] Gundogdu, I.B., 2009. Spatial analyst methods for urban planning-Scientific Research and Essay
Vol.4 (12), pp. 1531-1535, December, 2009
[11] Hamirpur district, Himachal Pradesh. Accessed on March 26, 2014 from
http://en.wikipedia.org/wiki/Hamirpur_district,_Himachal_Pradesh
[12] Y. P. Raiwani and Pragya Baluni, Extraction of Road Accident Patterns in Uttarakhand Using
Neural Network. International Journal of Civil Engineering and Technology, 5(8), 2014, pp. 159–
168.

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PATTERN OF ROAD TRAFFIC ACCIDENT: A CASE STUDY OF HAMIRPUR DISTRICT IN HIMACHAL PRADESH (H.P)

  • 1. http://www.iaeme.com/IJMET/index.asp 194 editor@iaeme.com International Journal of Mechanical Engineering and Technology (IJMET) Volume 8, Issue 2, February 2017, pp. 194–197 Article ID: IJMET_08_02_023 Available online at http://www.iaeme.com/IJMET/issues.asp?JType=IJMET&VType=8&IType=2 ISSN Print: 0976-6340 and ISSN Online: 0976-6359 © IAEME Publication PATTERN OF ROAD TRAFFIC ACCIDENT: A CASE STUDY OF HAMIRPUR DISTRICT IN HIMACHAL PRADESH (H.P) Sandeep Panchal Lecturer, CED, NIT Hamirpur, Himachal Pradesh, India Lalit Singh Rawat M.Tech Scholar, CED, NIT Hamirpur, Himachal Pradesh, India ABSTRACT A road accident pattern study is useful in indentifying the causes of road accidents. In the present study Hamirpur district in Himachal Pradesh is selected for identification of the pattern of road accidents. The accidents data of the study area has been collected for past 6 years which include the accident particulars like day, date and time of the accident location, police station, number of vehicle involved, injury and number of person dead or injured. From the data collected, the accident pattern is studied and the causes of accidents along various road stretches are identified. It is found that 20% of the accidents took place at 3pm to 6pm of the day and these are the peak hours of the day, also the most accidents took place in year 2013. Key words: traffic, accidents, injuries, accident pattern. Cite this Article: Sandeep Panchal and Lalit Singh Rawat. Pattern of Road Traffic Accident: A Case Study of Hamirpur District in Himachal Pradesh (H.P). International Journal of Mechanical Engineering and Technology, 8(2), 2017, pp. 194–197. http://www.iaeme.com/ijmet/issues.asp?JType=IJMET&VType=8&IType=2 1. INTRODUCTION With the development and globalization worldwide there is a need of dense road networks which could connects one place to another and hence there is a increase in the vehicles and hence results in increase in road accidents around the world. An estimated 65% rise in the number of accidents is expected over the next 20 years unless new prevention actions are taken (Gundogdu; 2009). In India over 1300000 persons are seriously injured on Indian road every year. India share 1% of the total vehicle present in the world but bears the burden of 6% of the total global vehicular accidents occurred in the world. In Himachal Pradesh, an average of 1350 traffic accidents occurs on national highways in which around 34.3 persons are killed per 100 persons, out of these 100 accidents 83 traffic accidents have occurred due to defect in road conditions. According to WHO (2004) it should be noted that road accidents are a result of the combined effects of three factors, which are given below. The road user characteristic The vehicular characteristic
  • 2. Sandeep Panchal and Lalit Singh Rawat http://www.iaeme.com/IJMET/index.asp 195 editor@iaeme.com The environment includes the Road Environment and supervision of the system (Martin; 1993). The road safety can be illustrated in the literature as three E’s which are enforcement, engineering and education. There should be mutual collaboration between these three E’s for improving the level of road safety. 2. METHODOLOGY The study was conducted in Hamirpur district and accidental data is collected from the police department of Hamirpur. Also the field survey of the accidental location is done at different months of the year. The study is made for the reasons behind these accidents. The field survey of the traffic is also done at the prime locations. To collect traffic accidents data also questionnaire survey is conducted at different locations. 3. RESULTS AND ANALYSIS The past six years traffic crashes, data has been collected from the police station of the Hamirpur district. This data contains the information related to date of accident, day and time of accident; police station belongs to the type of vehicle involved, number of vehicles involved, type of injury and number of male/female/child dead or injured. Table 1 Accidental Data of Previous Years S. No. Years No of Accidents Death Grievous Injury Minor Injury 1. 2008 42 5 2 48 2. 2009 34 8 10 32 3. 2010 53 7 9 62 4. 2011 25 5 3 33 5. 2012 43 13 8 80 6. 2013 44 11 3 65 Figure 1 Number of accident Vs Timings It has been observed that maximum number of accidents occur during 2:00 PM to 10:00 PM and may be attributed to the combined rush of shopping, office coming hour rush, evening hour rush along with poor lighting. 0 5 10 15 20 25 2008 2009 2010 2011 2012 2013 10:00AM - 2:00PM 2:00PM - 6:00PM 6:00PM - 10:00PM 10:00PM - 6:00AM PEAK HOUR
  • 3. Pattern of Road Traffic Accident: A Case Study of Hamirpur District in Himachal Pradesh (H.P) http://www.iaeme.com/IJMET/index. Fig Monthly wise accidental data have been collected and it is noted that the most of accidents take place is in the month of November. November month is due to foggy weather. landslides in rainy season. Figure 3 It is noted that the number of crashes is more in 2010, and 2011 has whereas 2008, 2012, and 2013 have approxi number of injured people in 2012 with respect to 2010, where the number of crashes is more than 2012. Also the number death is increased in 2012, and 2013. 4. CONCLUSION In the present work it is tried to study the pattern of accidents in the study area. It can be concluded that the foggy weather and the carelessness of drivers is a factor that contributes in the accidents. accident patterns of accidents are important to study and these outputs can planners. If the factors can be studied in more details these can be used for designing of special vehicles for hilly regions. 0 5 10 15 20 25 30 35 0 10 20 30 40 50 60 70 80 90 2008 No of Accidents Pattern of Road Traffic Accident: A Case Study of Hamirpur District in Himachal Pradesh (H.P) IJMET/index.asp 196 Figure 2 Monthly variation of accidents wise accidental data have been collected and it is noted that the most of accidents take place is in the month of November. The reason behind the more number of accidents during November month is due to foggy weather. In march, April and may the accidents increases due to Yearly Variation of Crashes and Injury Details he number of crashes is more in 2010, and 2011 has a minimum number whereas 2008, 2012, and 2013 have approximately the same number of accidents in 2012 with respect to 2010, where the number of crashes is more than 2012. Also the number death is increased in 2012, and 2013. d to study the pattern of accidents in the study area. It can be concluded that the foggy weather and the carelessness of drivers is a factor that contributes in the accidents. accident patterns of accidents are important to study and these outputs can planners. If the factors can be studied in more details these can be used for designing of special 2009 2010 2011 2012 2013 No of Accidents Death Grievous Injury Minor Injury Pattern of Road Traffic Accident: A Case Study of Hamirpur District in Himachal Pradesh (H.P) editor@iaeme.com wise accidental data have been collected and it is noted that the most of accidents take The reason behind the more number of accidents during cidents increases due to a minimum number of crashes accidents. But there is more in 2012 with respect to 2010, where the number of crashes is more than d to study the pattern of accidents in the study area. It can be concluded that the foggy weather and the carelessness of drivers is a factor that contributes in the accidents. The accident patterns of accidents are important to study and these outputs can be used by highway planners. If the factors can be studied in more details these can be used for designing of special 2013 Minor Injury
  • 4. Sandeep Panchal and Lalit Singh Rawat http://www.iaeme.com/IJMET/index.asp 197 editor@iaeme.com REFERENCES [1] Affum, J.K., Taylor, M.A., 1997. SELATM – “A GIS Based Program for Evaluating the Safety Benefits of Local Area Traffic Management Schemes”. Transportation Planning and Technology 21, 93–119. [2] Anderson Τ., 2006, “Comparison of Spatial Methods for Measuring Road Accident ‘Hotspots’: A Case Study of London”, Journal of Maps, New Zealand. [3] Erdogan, S., Yilmaz, I., Baybura, T. & Gullu, M., 2008.“Geographical Information Systems Aided Traffic Accident Analysis System Case Study: City of Afyonkarahisar”, Accident Analysis and Prevention, Vol. 40, p. 174-81. Epub2007 Jun 15. [4] Faghri, A. and Raman, N. (1995). A GIS-based Traffic Accident Information System. Journal of Advanced Transportation.29:321-334. [5] G, Apparao. Mallikarjunareddy, P., Raju, SSSV, G., 2013. “Identification of Accident Black Spots for National Highway Using GIS”, International Journal of Scientific & Technology Research Volume 2, Issue 2 [6] Islam M. Abo Elnaga, Development of Traffic Accidents Prediction Models at Rural Highways in Egypt. International Journal of Civil Engineering and Technology, 5 (6), 2014, pp. 16-24. [7] Gharaibeh, N. G., Hicks, J.E. and J. P. Hall (1997).Analysis of Accident, Traffic, and Pavement Data. Traffic Congestion and Traffic Safety in the 21st Century 396-402. [8] Ghosh, S. K., Parida, M. and Uraon J. K. (2004).Traffic Accident Analysis for Dehradun City using GIS. Institute of Town Planners, India (ITPI) Journal; 1 : 3 (2004) 40-54 [9] B.Naga Kiran, Dr. N. Kumara Swamy and Dr. C. Sashidhar, Prediction of Road Accident Modelling For Indian National Highways. International Journal of Civil Engineering and Technology, 8(1), 2017, pp. 789–802. [10] Gundogdu, I.B., 2009. Spatial analyst methods for urban planning-Scientific Research and Essay Vol.4 (12), pp. 1531-1535, December, 2009 [11] Hamirpur district, Himachal Pradesh. Accessed on March 26, 2014 from http://en.wikipedia.org/wiki/Hamirpur_district,_Himachal_Pradesh [12] Y. P. Raiwani and Pragya Baluni, Extraction of Road Accident Patterns in Uttarakhand Using Neural Network. International Journal of Civil Engineering and Technology, 5(8), 2014, pp. 159– 168.