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A Deep Learning Approach for Traffic Flow Prediction in City of Sarajevo

  • Nedim Kamenjašević,
  • Maida Eljazović,
  • Mirzet Sarajlić

摘要

Constant traffic jams and congestion in the City of Sarajevo reduce efficiency of road infrastructure and increase travel time and air pollution. Achieving a satisfactory level of road network service, which will lead to greater satisfaction of traffic participants, as well as all citizens, requires short-term planning of traffic flows in the City of Sarajevo. Deep learning techniques can be used with technological progress to collect information from real time and to predict future traffic flow in the City of Sarajevo.