Total views : 282

Black Spot Analysis on NH-21A


  • Department of Civil Engineering, Chandigarh University, Gharaun - 140413, Punjab, India


Objectives: To identify the reason that leads a particular stretch of National Highway an accidental prone area and to provide the helpful information. To find out the black spot on NH-21A from BADDI to NALAGARH. Methods: Data taken from PWD and FIR’s have been analyzed and places were identified where maximum accidents occurred. IRC 53:1982 has been adopted for drawing the condition and collision diagram of the particular accident location. Peak hour traffic volume data has been collected. IRC SP 88: 2010 has been considered for the provision of road safety. A1 and A4 forms have been filled. Findings: The data provided or gathered from the police station is not sufficient because some F.I.Rs has been missing and some of them have not been registered because of the compromise between the two parties. A1 form was not filled by the police and on the basis of that A4 form has to be filled which was also not filled. If all of this information made available in the police station, then the accident rate should have been reduced. After doing this study and gathering the data, it will be helpful in reducing the accident rate on that particular stretch. PWD do their work in more consolidated manner. Police are aware of the area prone for accident and they should keep check on it to reduce the accident rate. Proper sign board and lighting system should be installed at T junction and intersection points as it will also reduce accident rate. Improvements: Collecting such data in consolidated manner will help police department to take necessary steps in reducing accident rate. It will also help PWD while maintaining the road.


Accident Rate, Case Studies, Collision Diagrams, Condition Diagrams, F.I.R Data.

Full Text:

 |  (PDF views: 344)


  • Guo Z, Gao L, Kong K. The road safety situation investigation and characteristics analysis of black spot of arterial highways. International Transport Research and Documentation. 2003; 1(1); 9–20.
  • Ratanavaraha V, Watthanaklang D. Road safety audit: Identification of bus hazardous location in Thailand. Indian Journal of Science and Technology. 2013 Aug; 6(8):1–8.
  • MdJunus WN, Tahir MI, Zainudin A. Predicting Penang road accidents influences: Time series regression versus structural time series. Indian Journal of Science and Technology. 2015 Nov; 8(30):1–10.
  • Gopikrishna J, Shanmugapriyan V. Critical study on road inventory and traffic circulation for ensuring road safety in CEG campus. Indian Journal of Science and Technology. 2015 Nov; 8(32):1–4.
  • Sampathkumar V, Vanjinathan J, Pemmaraju VR. Intersection improvement at moolakadai along grand northern trunk road in Chennai. Indian Journal of Science and Technology. 2015 Oct; 8(28):1–5.
  • Vishrut L, Sharma AK. A case study of NH-58 identifying accident from spot on rural highway. International Journal of Chemical, Environmental and Biological Sciences. 2013; 1(2):1–4.
  • Raju SSSVG, Balaji KVGD, Rani KD, Kumar VS. Identification of black spot and junction improvement in Visakhapatnam city. Indian Journal of Innovations and Developments. 2012 Jun; 1(6):1–3.
  • Dehury AN, Dass AK. Black spot analysis on NH. International Journal of Engineering Research and Applications. 2013 May-Jun; 3(3):402–8.
  • Isen L, Shibu A, Saran MS. Identification and analysis of accident black spot using GIS. International Journal of Innovative Research in Science, Engineering and Technology. 2013 Dec; 2(1):1–9.
  • Khanna SK, Justo CEG. Highway Engineering. 9th ed. Nemchand and Brothers; 2011.
  • Black spot. Available from:


  • There are currently no refbacks.

Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.