Abstract
India is a developing country fighting against its population growth. There has been an exponential growth in the number of automobiles in India to meet the needs of growing population. Road safety is one of the major concern in our country. Although the Indian government has been trying to tackle this issue for several years, yet there is a substantial increase in the number of road crashes which has become the major cause of death. The Methodology adopted for identifying the most crucial factor of road accidents is based upon Fuzzy-AHP technique. A multi-criteria decision making (MCDM) model is constructed which takes seven different criteria as inputs from different literature reviews and practical investigations to assign different priorities/weights to the seven criteria. The weights of criteria are usually characterized by fuzzy numbers. In this paper data for 35 States was collected from National Crime Records Bureau, Ministry of Road Transport and Highway, Global status report on road safety 2013. Finally, the decision is made by the computational process and effectiveness of Fuzzy AHP.
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Nanda, S., Singh, S. (2018). Evaluation of Factors Responsible for Road Accidents in India by Fuzzy AHP. In: Perez, G., Mishra, K., Tiwari, S., Trivedi, M. (eds) Networking Communication and Data Knowledge Engineering. Lecture Notes on Data Engineering and Communications Technologies, vol 3. Springer, Singapore. https://doi.org/10.1007/978-981-10-4585-1_15
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