Machine Learning Approach Towards Road Accident Analysis in India

[1]  Mohamed Abdel-Aty,et al.  Analyzing crash injury severity for a mountainous freeway incorporating real-time traffic and weather data , 2014 .

[2]  Patan Rizwan,et al.  Real-time smart traffic management system for smart cities by using Internet of Things and big data , 2016, 2016 International Conference on Emerging Technological Trends (ICETT).

[3]  Nagaraj V. Dharwadkar,et al.  Analyzing road accident data using machine learning paradigms , 2017, 2017 International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC).

[4]  Sachin Kumar,et al.  A data mining approach to characterize road accident locations , 2016, Journal of Modern Transportation.

[5]  Xuedong Yan,et al.  Exploring precrash maneuvers using classification trees and random forests. , 2009, Accident; analysis and prevention.

[6]  M. Hemalatha,et al.  A Perspective Analysis of Traffic Accident using Data Mining Techniques , 2011 .

[7]  Sanjay Kumar Singh,et al.  Road traffic accidents in India: issues and challenges , 2017 .

[8]  Hoang Nguyen,et al.  Automatic classification of traffic incident's severity using machine learning approaches , 2017 .

[9]  Pradeep Kumar Agarwal,et al.  A Systematic Approach for Formulation of a Road Safety Improvement Program in India , 2013 .

[10]  Madhar Taamneh,et al.  Evaluation of the Performance of Random Forests Technique in Predicting the Severity of Road Traffic Accidents , 2018, Advances in Intelligent Systems and Computing.

[11]  Mohammad Reza Mohammadi,et al.  Personality, Driving Behavior and Mental Disorders Factors as Predictors of Road Traffic Accidents Based on Logistic Regression , 2017, Iranian journal of medical sciences.

[12]  S. Vijayarani,et al.  Analysis of road accidents in India using data mining classification algorithms , 2017, 2017 International Conference on Inventive Computing and Informatics (ICICI).

[13]  S. Vasavi,et al.  Extracting Hidden Patterns Within Road Accident Data Using Machine Learning Techniques , 2018 .

[14]  Amirfarrokh Iranitalab,et al.  Comparison of four statistical and machine learning methods for crash severity prediction. , 2017, Accident; analysis and prevention.

[15]  Abdulhamit Subasi,et al.  Traffic accident detection using random forest classifier , 2018, 2018 15th Learning and Technology Conference (L&T).

[16]  S. Singh,et al.  The Neglected Epidemic: Road Traffic Crashes in India , 2012 .

[17]  Wonjong Rhee,et al.  Application of classification algorithms for analysis of road safety risk factor dependencies. , 2015, Accident; analysis and prevention.

[18]  R. Geetha Ramani,et al.  Feature Relevance Analysis and Classification of Road Traffic Accident Data through Data Mining Techniques , 2012 .

[19]  Ciro Caliendo,et al.  Analysis of crash frequency in motorway tunnels based on a correlated random-parameters approach , 2019, Tunnelling and Underground Space Technology.

[20]  Deepti Mehrotra,et al.  Data mining approach to analyse the road accidents in India , 2016, 2016 5th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO).

[21]  Francesco Marcelloni,et al.  Detection of traffic congestion and incidents from GPS trace analysis , 2017, Expert Syst. Appl..

[22]  Durga Toshniwal,et al.  Analysis of hourly road accident counts using hierarchical clustering and cophenetic correlation coefficient (CPCC) , 2016, Journal of Big Data.

[23]  Vijender Kumar Solanki,et al.  Data Mining Approach of Accident Occurrences Identification with Effective Methodology and Implementation , 2018, International Journal of Electrical and Computer Engineering (IJECE).

[24]  George Yannis,et al.  A review of the effect of traffic and weather characteristics on road safety. , 2014, Accident; analysis and prevention.

[25]  Olutayo V.A,et al.  Traffic Accident Analysis Using Decision Trees and Neural Networks , 2014 .

[26]  Sanjay Kumar Singh,et al.  Scenario of Urban Transport in Indian Cities: Challenges and the Way Forward , 2015 .