i-manager Publications

Black Spot Identification and Audit Analysis for Heterogeneous Traffic Conditions in Hyderabad City – a Case Study

T. Sri Lakshmi Sowmya*, A. Ramesh**, B.N.M. Rao***, M. Kumar****

* PG Student, Department of Civil Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India.

** Associate Professor, Department of Civil Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India.

*** Professor and Head, Department of Civil Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India.

**** Professor, Department of Civil Engineering, University College of Engineering, Osmania University, Telangana, India.

Periodicity:September - November'2015
DOI : https://doi.org/10.26634/jste.4.3.3729

Abstract

Accident black-spot is the place where road traffic accidents have historically been concentrated. In these locations, accidents are not a random event but are common due to varying factors like road environment, traffic factors, and vehicle conditions. In metropolitan cities like Hyderabad in India, road traffic is heterogeneous and vehicular movement is highly influenced by surrounding vehicular traffic which is resulting in frequent accidents. In order to overcome the increasing number of road accidents, the present study helps to analyze the black-spot locations in the city where the major road accidents take place. Accident data for the past three years (2012-2014) in Hyderabad city was collected from police records in terms of time, date of occurrence, details of accidents such as fatal, injury, and property damage, and type of vehicles involved. This data is analyzed using accident frequency method and accident severity method for identification of black-spot locations. These identified black-spot locations are ranked in terms of severity of occurrence and analyzed to bring out the accident contributing factors for each location. Audit studies were conducted at black-spot locations for achieving improvement measures for reduction in cause of road accidents. A black-spot model was also developed using multiple linear regression analysis. Narrow roads, steep curves, improper illumination, improper traffic signals, and lack of speed sign boards were observed as a few major causes for road accidents at highly ranked black- spot locations. From the study, it was also observed that rash driving, and signal jump play a vital role for increasing accident rates in the city.

Keywords

Black-Spot, Accident Severity, Accident Frequency, Audit.

How to Cite this Article?

Sowmya, T.S.L., Ramesh, A., Rao, B.N.M., and Kumar, M. (2015). Black Spot Identification and Audit Analysis for Heterogeneous Traffic Conditions in Hyderabad City – a Case Study. i-manager’s Journal on Structural Engineering, 4(3), 34-42. https://doi.org/10.26634/jste.4.3.3729

References

[1]. AlisgharSadegi, EasmaeelAyati, and Mohammadali Pirayesh Naghab, (2013), “Identification and prioritization of Hazardos Road Locations by Segmentation and Data Envelopment Analysis Approach”. Safety and Security in Traffic Preliminary Communication, Vol. 25, pp. 127-136.

[2]. Deelesh Mandloi, and Rajiv Gupta (2003), “Evaluation of accident black spots on roads by using Geographical Information Systems (GIS)”, Map India Conference.

[3]. Fajaruddin Mustakim, Ismail Yusof, Ismail Rahman, Abdul Aziz Abdul Samad, and Nor Esnizah Binti Mohd Salleh, (2008), “Black spot Study and Accident Prediction Model Using Multiple LinerRegression”. First International Conference In Developing Countries (ICCIDC-I), Advancing and Integrating Construction Education, Research & Practice.

[4]. GouravGoel, and S.N. Sachdeva (2014), “Identification of Accident Prone Locations Using Accident Severity Value on a Selected Stretch of NH-1”. International Journal of Engineering Research and Applications; National Conference on Advances in Engineering and Technology.

[5]. Hauer, E, (1997). Observational Before-After Studies in Road Safety. Pergamum, Tarrytown.

[6]. Huayun Chen, (2012), “Black Spot Determination of Traffic Accident Locations and Its Spatial Association Characteristic Analysis Based on GIS”. Journal of Geographic Information System, Vol. 4, pp. 608-617.

[7]. Krishnamurthy K, M.V.L.R. Anjaneyulu, and R. Rakesh, (2011), “Black spot identification, analysis and improvement measures on selected national highway stretches in Kerala, India”, TRB Annual Meeting.

[8]. Leelakajonjit A, Brannolte U, Kanitpong K, and Iamtrakul P, (2014), “Analysis of Road Accident Hazardous Locations in Bangkhen Police Station, Thailand”. Acta Technical Jaurinensis, Vol. 7, No.1, pp. 33-45.

[9]. LiyamolIsen, Shibu. A, and Saran M. S, (2013), “Evaluation and treatment of accident black spots using Geographic Information System”. International Journal of Innovative Research in Science, Engineering and Technology, Vol. 2, No. 8.

[10]. Mahal, D Hakkert, A.S., and Mahalel, D. (1978). “Estimating the number of accidents at intersections from a knowledge of the traffic flow on the approaches”. Accident Analysis and Prevention. Vol.10, pp. 69–79.

[11]. Shenjun YAO, Becky P.Y. LOO (2012), “Identification of Hazardous Road Locations for Pedestrians”. International Symposium on Safety Science and Technology, Vol. 45, No.12, pp. 815 – 823.

[12]. The black spot manual of Swe-Road Traffic Safety Project (2001). ANKARA Traffic Safety Consultancy Services.

	North Americas,UK, Middle East,Europe		India	Rest of world
	USD	EUR	INR	USD-ROW
Pdf	35	35	200	20
Online	35	35	200	15
Pdf & Online	35	35	400	25

Black Spot Identification and Audit Analysis for Heterogeneous Traffic Conditions in Hyderabad City – a Case Study

Abstract

Keywords

How to Cite this Article?

References

If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Options for accessing this content: