Intelligent and Predictive Vehicular Networks

HIGHLIGHTS

• who: Schmidt Shilukobo Chintu and colleagues from the Faculty of Architecture, Computing and Humanities, School of Computing and Mathematical Sciences, University of Greenwich, London, UK have published the article: Intelligent and Predictive Vehicular Networks, in the Journal: (JOURNAL)
• what: The authors propose algorithms that find multiple shortest paths between an origin and a destination. In the model , the authors simulate 3 scenarios and compare the results; 1) Using the shortest path―Traffic flows from O-D using the shortest path.
• how: This paper proposes a Fully Balanced MultipleCandidate shortest path (FBMkP) by which . . .
  

   

  

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