AI-Based Transportation Planning and Operation

AI-Based Transportation Planning and Operation

The purpose of this Special Issue is to create an an academic platform whereby high-quality research papers are published on the applications of innovative AI algorithms to transportation planning and operation. The authors present their original research articles related to the applications of AI o...

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Bibliographic Details
Other Authors: Sohn, Keemin (Editor)
Format: Book Chapter
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Subjects:
History of engineering & technology
autoencoder
deep learning
traffic volume
vehicle counting
CycleGAN
bottleneck and gridlock identification
gridlock prediction
urban road network
long short-term memory
link embedding
traffic speed prediction
traffic flow centrality
reachability analysis
spatio-temporal data
artificial neural network
context-awareness
dynamic pricing
reinforcement learning
ridesharing
supply improvement
taxi
preventive automated driving system
automated vehicle
traffic accidents
deep neural networks
vehicle GPS data
driving cycle
micro-level vehicle emission estimation
link emission factors
MOVES
black ice
CNN
prevention
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