Toward an Intelligent Traffic Management Based on Big Data for Smart City

Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 37)

Abstract

It is anticipated that the Smart City research initiative will create new breakthroughs to revolutionize transportation system operations, infrastructure design, construction and management, as Big Data progresses. This latter will focus on the modeling, analysis and optimization of data-intensive intelligent transport systems, which will allow for more efficient system-wide operations. The focus is on the use of non-traditional data generated by smart city initiatives and emerging mobile applications, including data from social media, smart phones and more generally all connected objects. Research on this subject allows us to have a global view on the studies carried out in this field not on the infrastructure side but control and management of road traffic, based on the main objectives according to the users of the road. These objectives are the elaboration of a shortest path between a source and a destination, as well as the time required to traverse this path. We study different existing solutions such as solution employed by: Google, Japan (VICS, PCS) trying to find the advantage, the weak points and the common points to better bring out a new model which gathers the maximum advantages of these methods.

Keywords

Smart city Big Data Mongo DB Traffic road Traffic congestion Vehicle routing 

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.RITM Laboratory, Computer Science and Networks TeamENSEM-ESTC-UH2CCasablancaMorocco

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