• Corpus ID: 52904394

Road Traffic Accidents Analysis in Mexico City through Crowdsourcing Data and Data Mining Techniques

@article{Perez2018RoadTA,
  title={Road Traffic Accidents Analysis in Mexico City through Crowdsourcing Data and Data Mining Techniques},
  author={Gabriela V. Angeles Perez and Jose L{\'o}pez and Araceli L. Reyes Cabello and Emilio Bravo Grajales and Adriana Perez Espinosa and Jos{\'e} Fabi{\'a}n},
  journal={World Academy of Science, Engineering and Technology, International Journal of Computer and Information Engineering},
  year={2018},
  volume={12},
  pages={604-608}
}
Road traffic accidents are among the principal causes of traffic congestion, causing human losses, damages to health and the environment, economic losses and material damages. Studies about traditional road traffic accidents in urban zones represents very high inversion of time and money, additionally, the result are not current. However, nowadays in many countries, the crowdsourced GPS based traffic and navigation apps have emerged as an important source of information to low cost to studies… 

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