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Case Study
The methodology developed for evaluating accident black spots on roads was applied for road network in BITS Pilani Campus. The results obtained are given below.


Fig 1.3 Road Network in BITS Pilani Campus


Fig 1.4 Location of Accident Black Spots
Conclusion
The main advantage of using this approach for identifying accident black spots on roads is that it requires very less additional data other than the road network map. So the results obtained form this model can easily be used for planning road safety measures. Also these can be supplemented with the results obtained by using other approaches. Moreover the results can act as a quick guideline for road network planners and the authorities concerned with accident mitigation measures.

However the accuracy of this model highly depends on the way in which the road network is digitized. The road geometry can be inferred incorrectly if it is not properly digitized. Even the selection of proper resolution during rasterization and suitable check length for curvature analysis can affect the results.

References

• Khanna S.K., Justo C.E.G. "Highway Engineering", (1994), Nem Chand & Bros, Roorkee, 7th Edition.
• Environmental Systems Research Institute (ESRI) Inc. "ArcView GIS, version 3.1", 1996, New York Street, Redlands, California, USA.
• Baguley Chris, McDonald Mike, et al, "Towards Safer Roads in Developing Countries, A Guide for Planners and Engineers", Transport Research Laboratory, 1994, pp 1-60
• Kalga R.R, Silanda S.N, "Accident Rate Prediction on Arterial Roads of Durban, South Africa", Indian Highways Journal, July 2002.

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