Motorway Bottleneck Probability Estimation in Connected Vehicles Environment Using Speed Transition Matrices

Motorway Bottleneck Probability Estimation in Connected Vehicles Environment Using Speed Transition Matrices

Increased development of the urban areas leads to intensive transport service demand, especially on urban motorways. To increase traffic flow and reduce congestion, motorway traffic bottlenecks caused by high traffic demand need to be efficiently resolved using Intelligent Transport Systems services...

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Bibliographic Details
Main Authors: Carić, T. (Author), Ivanjko, E. (Author), Tišljarić, L. (Author), Vrbanić, F. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Bottleneck detection
Bottleneck probability
Connected vehicle
Connected vehicles
Fuzzy-based bottleneck probability
Inspection
Intelligent systems
Intelligent vehicle highway systems
Large dataset
Learning algorithms
Machine learning
Matrix algebra
Motorway bottleneck
Probability
Probability estimation
Speed transition matrix
Traffic bottleneck
Traffic congestion
Traffic simulation
Traffic simulations
Transition matrices
Travel time
Urban transportation
Vehicles
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