An Intelligent Parking Scheduling Algorithm Based on Traffic and Driver Behavior Predictions - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2018

An Intelligent Parking Scheduling Algorithm Based on Traffic and Driver Behavior Predictions

Jiazao Lin
  • Fonction : Auteur
  • PersonId : 1053405
Shi-Yong Chen
  • Fonction : Auteur
  • PersonId : 1053406
Chih-Yung Chang
  • Fonction : Auteur
  • PersonId : 1053407
Guilin Chen
  • Fonction : Auteur
  • PersonId : 1053408

Résumé

Smart parking is a common demand of citizen, especially for people living in a smart city. It is an important issue since it not only determines the required parking time of drivers but also impacts the urban population and traffic congestion. In this paper, an intelligent parking algorithm is presented based on the predictions of traffics and drivers’ behaviors. The proposed parking algorithm analyzes the historical parking records, predicts the parking traffics and the driver’s parking length and then schedules the vehicles to the parking grids such that the maximal benefits can be obtained. The proposed algorithm also dynamically allocates their reservations but guarantees the parking reservations for the VIP members. But based on the parking space resource. Performance analysis through extensive simulations demonstrates the efficiency and practicality of the proposed scheme.
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Dates et versions

hal-02279559 , version 1 (05-09-2019)

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Jiazao Lin, Shi-Yong Chen, Chih-Yung Chang, Guilin Chen. An Intelligent Parking Scheduling Algorithm Based on Traffic and Driver Behavior Predictions. 15th IFIP International Conference on Network and Parallel Computing (NPC), Nov 2018, Muroran, Japan. pp.185-189, ⟨10.1007/978-3-030-05677-3_22⟩. ⟨hal-02279559⟩
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