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Poster De Conférence Année : 2022

Advanced Dynamic Traffic Management System

Mohannd Al Dhfian
  • Fonction : Auteur
  • PersonId : 1157362
Hend Bin Hussain
  • Fonction : Auteur
  • PersonId : 1157364

Résumé

The population of the Kingdom of Saudi Arabia is growing and is expected to reach 50 million by the year 2030. As a result, congestion and heavy traffic will get worse over time. Moreover, worldwide traffic congestion becomes more problematic and complicated to solve. These add to the existing factors that necessitate an overall solution that considers all pre-existing challenges. This research proposes a system model approach to retrieve data from various sources and model a wide range of constant solutions. The proposed system consists mainly of two sections: the first part is the reporting section, and the second part is the execution section. The implemented modeling consisted of multilayers which are 1- data input layer 2- data modeling layer 3- data output layer 4- data reporting layer.
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Dates et versions

hal-03755059 , version 1 (21-08-2022)

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  • HAL Id : hal-03755059 , version 1

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Mohannd Al Dhfian, Saad Aldoihi, Khalid Alblehed, Hend Bin Hussain. Advanced Dynamic Traffic Management System. GRI Enrichment Program, Aug 2022, Riyadh, Saudi Arabia. ⟨hal-03755059⟩
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