Conjecture Interaction Optimization Model for Intelligent Transportation Systems in Smart Cities Using Reciprocated Multi-Instance Learning for Road Traffic Management

Conjecture Interaction Optimization Model for Intelligent Transportation Systems in Smart Cities Using Reciprocated Multi-Instance Learning for Road Traffic Management

Intelligent Transportation Systems (ITS) routing in smart cities is planned and maintained based on vehicle communication, demands, and terminal interaction. The influencing factors, such as road and traffic conditions, demand a prior conjecture to improve transportation, navigation comfort, and eff...

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Bibliographic Details
Main Authors: Abdullah Faiz Al Asmari, Ahmed Almutairi, Fayez Alanazi, Tariq Alqubaysi, Ammar Armghan
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
ITS
MIL
reciprocated convergence
routing optimization
smart city
Online Access:https://ieeexplore.ieee.org/document/10891544/
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