Monday, November 16, 2015

Classification of Road Accident Patterns

Author(s): Anuj Sharma,Dehradun Institute of Technology (DIT University); Dr. Sandeep Sharma, Dehradun Institute of Technology (DIT University); Dr. Santosh Kumar, Dehradun Institute of Technology (DIT University)

Keywords: Road Accident, Data Mining, Neural Network

Abstract : This paper presents the classification of vehicular road accident patterns using data mining in Uttarakhand state. In order to provide insights for the development of safety improvement strategies. At this aim, data mining techniques are used to analyze the data relative to the 4,130 crashes all including vehicular crashes. Understanding the accidents on age based classification under which drivers and passengers are more likely to be killed or more severely injured in an automobile accident can help improve the overall driving safety situation. Data mining a non-trivial extraction of novel, implicit, and actionable knowledge from large data sets is an evolving technology which is a direct result of the increasing use of computer databases in order to store and retrieve information effectively. It also enables data exploration, data analysis, and data visualization of huge databases at a high level of abstraction, without a specific hypothesis in mind. Understanding the casualties and classifying the road accidents on gender basis can help in improving traffic safety conditions. This paper presents a data mining approaches to explore various factors for vehicular collision. We have used neural network to classify various road accident patterns that can in turn help in analyzing the road accidents and casualties according to age, gender and location within the state. Feed forward neural network is used to evaluate the various results regarding the related study. With the use of data mining techniques it would be analyze and observe the large database having different records of vehicular road crashes in Uttarakhand state.

Monday, November 9, 2015



Transforming ICT to IoT

In association with

IJSRD – International Journal for Scientific Research & Development

SAL Institute of Technology & Engineering Research, affiliated to the Gujarat Technological University, Ahmedabad., is organizing 1-day event named National Conference on ICT”  on 20th January 2016 in association with IJSRD.
The conference aims to provide an opportunity to teachers/mentors/ educators and students to acknowledge, celebrate and showcase research being carried out by students by enabling them to engage with the wider communities to exchange ideas and share intellectual activity through paper presentations sessions. The event shall feature research papers presentations by eminent educators and students from all over India in the field of ICT (Information and Communication Technologies) & IoT (Internet of Things). 
Researchers working on IoT and ICT can submit their papers under following themes of conference.
  1. Pedagogy for effective use of ICT in Engineering Education.
  2. IoT for everyday life.
  3. IoT for smart house.
Chief Patron
Er. Shri Rajendra Shah
Dr. Rupesh P. Vasani
Ms. Neelima Shah
Ms. Pooja Shah
Dr. S. G. Desai
 Technical Committee
Prof. Vijay Gadhavi (SALITER)
Prof. Dushyant Rathod (SCE)
Prof. Mayank Parekh (SCE)
Prof. Tejas Mehta (SETI)
Prof. Nidhi Barot
Prof. Pooja Mehta
Prof. Archana Patel
Prof. Ankita Gandhi


SAL Institute of Technology & Engineering Research
Opp, Science city, Sola Bhadaj Road,
Ahmedabad, Gujarat 380060
Website :


IJSRDInternational Journal  for Scientific Research & Development