The seminar by Rutuja Gawade, Amol Pawar, Swapnil Borge, Nazim Ansari under the guidance of Prof. Jitesh Dhule about the accidents black spot identification along the route.

1. A
PROJECT
ON
“ACCIDENT ANALYSIS &
BLACKSPOT IDENTIFICATION FROM
CHANDANI CHAWK TO KJEI
INSTITUTE
-A CASE STUDY”
BY:
MS.RUTUJA N. GAWADE
MR.AMOL D. PAWAR
MR.SWAPNIL S. BORGE GUIDED BY :
MR.NAZIM ANSARI PROF. J.J.DHULE

2. CONTENTS
 INTRODUCTION
 LITERATURE REVIEW
 METHODOLOGY
 DATA COLLECTION
 ANALYSIS OF DATA
 PHYSICAL SURVEY
 RESULT AND CONCLUSION
 REFERENCES

3. INTRODUCTION
 India having less than 1% of the world's
vehicles, the country accounts for 6% of total
road accidents across the globe and 10% of total
road fatalities .
 Accident is an undesirable, incidental and
unplanned event that could have been prevented.
 The main causes of the road accidents include
inappropriate speed, inattention to hazards on
heavily trafficked roads, absence of safe
crossing facilities for pedestrians.

4. TOTAL FATALITIES IN THE
YEAR 2014-15

5. MOTIVATION AND PROBLEM
STATEMENT
 From last few years, it has been observed that from
Chandani Chowk to KJEI Institute there is increase in
accidents and due to accidents number of fatalities also
increases.
 As there are various institutes on this route so that there is
increase in traffic & unfortunately in accidents. Also it has
been observed that between Chandani Chowk to Nawale
bridge and between Katraj and Khadi Machine there are
some spots are there where the accidents are frequently
happened.
 So, to reduce the accident rates it is very important to
identify the places where accidents are frequently
happened i.e BlackSpots & give preventive measures for it.

6. STUDY AREA

7. OBJECTIVE
 Identification of BlackSpots on the route of Chandani
Chowk to Khadi Machine.
 BLACKSPOT :
In road safety management , an accident
Blackspot is a place where road traffic accidents have
been historically has been concentrated.

8. LITERATURE REVIEW
 Snehal Bobade-Sorate et al. (April 2016),
“Black Spots Analysis On Pune - Bangalore
National Highway”, identified accidental
BlackSpots on a section (820 km-830 km) of NH-4
 R.R.Sorate et al. (June 2015), “Identification
of Accident Black Spots On National Highway 4
(New Katraj Tunnel To Chandani Chowk)”, they
work for identification of accident black spots on
national highway 4 (New Katraj Tunnel to
Chandani Chowk) by the method of ranking and
severity index.

9. LITERATURE REVIEW
 Gopala Raju SSSV et al. (June 2012),
“Identification of Blackspots and junction
improvements in Vishakhapatnam city”, By analyzing
data they found out the blackspots at that respected
area or road and finding the blackspots they give the
preventive measures or improvements in the various
junctions.
 Apparao. G et al (Feb- 2013), “Identification of
Accident Black Spots For National Highway Using
GIS”. The data were collected from police stations and
survey of topographical map has been studied. After
that the Ground Control Points with the help of Global
Position System has been found out & then the
blackspots has been identified by using Critical Crash
Rate Factor Method

10. LITERATURE REVIEW
 A.N. Dehury et al. (M/ J 2013), “Black Spot
Analysis on National Highways”, A case study was
taken on NH-55 of Angul district in Orissa state.
They collected data from FIR index from police
department during period 2002-2011. They analyzed
deficiencies to improve black spot by using Accident
Frequency Method.
 Snehal U Bobade et al (February 2015),
“Identification of Accidental Black spots on National
Highways and Expressways”, this deals with study
and identification of accidental black spots on Pune-
Solapur National Highway (NH9) and Mumbai-Pune
Expressway by method of ranking.

11. METHODOLOGY

12. DATA COLLECTION
 SOURCE :
1. BHARATI VIDYAPITH POLICE STATION
2. KONDHAVA POLICE STATION
3. WARJE POLICE STATION
4. SINHAGAD POLICE STATION
 The data collected from Police station includes:
 PAST 2 YEAR ACCIDENT DATA
 PLACE OF ACCIDENT
 TYPE OF VEHICLE
 NO. OF FATALITIES
 CAUSE OF ACCIDENT

13. POLICE STATION Year Death Sheet Critical Injured Injured Damage TOTAL
WARJE
2015 12 16 17 14
45MALE FEMALE MALE FEMALE MALE FEMALE DAMAGE
11 1 12 4 13 4 14
2016 14 11 7 11
32MALE FEMALE MALE FEMALE MALE FEMALE DAMAGE
10 4 9 2 5 2 11
SINHGAD
2015 14 13 8 0
35MALE FEMALE MALE FEMALE MALE FEMALE DAMAGE
11 3 11 2 8 0 0
2016 13 17 0 0
30MALE FEMALE MALE FEMALE MALE FEMALE DAMAGE
9 4 14 3 0 0 0
SUMMARY OF COLLECTED DATA

14. BHARTI VIDHYAPITH
2015 12 0 15 0
27MALE FEMALE MALE FEMALE MALE FEMALE DAMAGE
10 2 0 0 3 2 0
2016 9 10 14 0 33
MALE FEMALE MALE FEMALE MALE FEMALE DAMAGE
8 1 6 4 13 1 0
KONDHAWA
2015 5 5 0 0
10MALE FEMALE MALE FEMALE MALE FEMALE DAMAGE
2 3 4 1 0 0 0
2016 4 4 0 0
8MALE FEMALE MALE FEMALE MALE FEMALE DAMAGE
3 1 2 2 0 0 0
POLICE STATION Year Death Sheet Critical Injured Injured Damage TOTAL

15. SUMMARY OF COLLECTED DATA IN TERMS
OF GRAPH
DEATH SHEET OF 2015-2016

16. CRITICAL INJURED SHEET OF 2015-2016

17. NORMAL INJURED SHEET OF 2015-2016

18. TOTAL ACCIDENT SHEET OF 2015-2016

19. METHODS OF ANALYSIS
 METHOD OF RANKING
 SEVERITY INDEX METHOD
 ACCIDENT DENSITY METHOD
 WEIGHTED SEVERITY INDEX METHOD
From above Four Methods we choose the Two methods for Analysis :
 ACCIDENT DENSITY METHOD &
 WEIGHTED SEVERITY INDEX METHOD

20. ANALYSIS OF DATA
1) ACCIDENTAL DENSITY METHOD :
 The accident density is calculated from the number of accidents
per unit length for a section of highway. Sections with more than a
predetermined number of accidents are classified as high accident
locations.
 Unit length is taken as 500m.
 Average no. of accidents = (Total no. of accidents) / 24.5
Sample calculation,
 Average no. of accidents = (110) / (24.5) = 4.48
Every 500m length of the stretch where no. accidents is more than 5
is termed as “Accidental Blackspot”.

22. ANALYSIS OF DATA
2) WEIGHTED SEVERITY INDEX METHOD
 WSI follows a system of assigning scores based on the number and
severity of accidents at that particular location.
 Severity of an accident is classified as Fatal, Grievous injuries and
minor injuries.
 WSI is calculated by formula, WSI = (41 x K) + (4 x GI) + (1 x
MI)
Where, K is the number of persons killed; GI is the number of
grievous injuries; and MI is the number of minor injuries
 Locations having WSI more than or equal to 41 are termed as
“Accident Black spots’’.

24. IDENTIFIED BLACKSPOTS
ACCORDING TO SECTION
Sr. No. Section Place
1
PT02-PT03 Yewalewadi
2
PT06-PT07 Khadi Machine
3
PT10-PT11 Gokul Nagar
4
PT14-PT15 Katraj Chowk
5
PT16-PT17 Datta Nagar
6
PT19-PT20 Beldare Petrol Pump
7
PT26-PT27 wadgaon bridge
8
PT27-PT28 End of Vadgaon Bridge
9
PT36-PT37 Mai Mangeshkar Hospital
10
PT41-PT42 opp. RMD college
11
PT45-PT46 Dhukkar Khind
12
PT49- Final Chandani Chowk

25. PHYSICAL SURVEY
 We identified twelve numbers of BlackSpots by co-relating
the Accidental Density Method and Weighted Severity
Index. We had visited those BlackSpots physically and try
to find out the exact reasons of accidents. So, we studied
the BlackSpots which are which are more dangerous.
 Yewalewadi
 Khadimachine
 Gokul Nagar
 Katraj Chawk
 Datta Nagar
 Trimurti Mangal Karyalay & Beldare Petrol
Pump

26. PHYSICAL SURVEY
1) YEWALEWADI

27. 2) KHADI MACHINE

29. 3) GOKUL NAGAR

30. 3) GOKUL NAGAR

31. 4) KATRAJ CHOWK

32. 5) DATTA NAGAR

34. 6) TRIMURTI MANGAL KARYALAYA &
BELDARE PETROL PUMP:

35. 7) NAVALE BRIDGE AND VADGAON BRIDGE:

37. 8) CHANDANI CHOWK:

38. RESULT & CONCLUSION
 As our main focus of this project is accident analysis and
identification of BlackSpots on the route of Chandani
Chowk to KJ’s Educational Institute, Pune. This route is
having 20.0 KM length. This route includes Mumbai-
Bangalore Highway (NH-48), Pune-Machilipatanam (NH-
65) Highway.
 Number of educational institutes, temples, stops for
construction workers are also exists on this route.
 We had collected accidental data from police stations for
last two years and by using Accidental Density Method and
Weighted Severity Index method.
 After analyzing this data by these methods we find out
different BlackSpots. After co-relating the analysis from
both methods, we selected the spots which are common in
both as a BlackSpots.

39. BLACKSPOTS
The Blackspots identified are :
1) Yewalewadi
2) Khadi Machine
3) Gokul Nagar
4) Katraj Chowk
5) Datta Nagar
6) Beldare Petrol Pump
7) Vadgaon Bridge
8) End of Vadgaon Bridge
9) Mai Mangeshkar Hospital
10) RMD college
11) Dhukkar Khind
12) Chandani Chowk.

40. BLACKSPOTS MARKED BY RED PINS

41. FUTURE SCOPE
With the advent of technology and advanced algorithms to
manage the traffic flows and integrate the analysis of the
work it is possible.
It would be possible to apply machine learning algorithms
to determine the most probable black spots by analysing the
real-time traffic conditions and provide the safest and most
comfortable traffic environment.
As the population is rising, there will be a corresponding
rise in the traffic related issues, to counter the evil effects of
the black spots.
 The currently used traffic calming agents could be
modified to suit the real-time analysis of black-spots.

42. REFERENCES
 Snehal Bobade-Sorate, Anuj U.Manerikar, Devika J.Buttepatil, Prem M.Rathod
(April 2016), “ Black Spots Analysis On Pune - Bangalore National Highway”,
International Research Journal of Engineering and Technology (IRJET), Volume: 03
Issue: 04, pp. 1157-1160
 R.R.Sorate, R.P. Kulkarni, S.U. Bobade, M.S. Patil, A.M. Talathi, I.Y. Sayyad,
S.V.Apte (June 2015), “ Identification of Accident Black Spots On National
Highway 4 (New Katraj Tunnel To Chandani Chowk)”, Journal of Mechanical and
Civil Engineering (IOSR-JMCE), Volume 12, Issue 3 Ver. I, PP 61-67.
 Snehal U Bobade, Jalindar R Patil, Raviraj R Sorate ( Feb 2015), “Identification of
Accidental Black spots on National Highways and Expressways”, International
Journal of Research in Advent Technology, pp 82-85.
 Parikh Vaidehi Ashokbha, Dr. A.M. Jain (March 2014), “Road Safety Audit: an
Identification of BlackSpots on busy corridor between Narol- Naroda of Ahmedabad
city”, International Journal of Engineering and Technical Research (IJETR), Volume-
2, Issue-3, pp 86-89.
•.

43. REFERENCES
 A.N.Dehur , A.K.Das, A.K.Pattnaik, P.Bhuyan, M.Panda, U.Chattraj (M/J
2013), “Black Spot Analysis on National Highways”, International Journal
of Engineering Research and Applications (IJERA), Vol. 3, Issue 3, pp.402-
408.
 Apparao. G, Mallikarjunareddy Dr. SSSV Gopala Raju (Feb- 2013),
“Identification of Accident Black Spots For National Highway Using GIS”,
International Journal Of Scientific & Technology Research Volume 2, Issue
2, pp 154-157.
 Gopala Raju SSSV, Balaji KVGD, Durga Rani K, Sai Kumar V4 (June
2012), “Identification of blackspots and junction improvements in
Vishakhapatnam city”, Indian Journal Innovations Development., Vol. 1,
No. 6, pp. 469-471
 18th
annual report “Crime in Maharashtra, 2015”