Intelligent Transportation Related Complex Systems and Sensors

Intelligent Transportation Related Complex Systems and Sensors

Building around innovative services related to different modes of transport and traffic management, intelligent transport systems (ITS) are being widely adopted worldwide to improve the efficiency and safety of the transportation system. They enable users to be better informed and make safer, more c...

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Bibliographic Details
Other Authors: Kyamakya, Kyandoghere (Editor), Al-Machot, Fadi (Editor), Mosa, Ahmad Haj (Editor), Chedjou, Jean Chamberlain (Editor), Bagula, Antoine (Editor)
Format: Book Chapter
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Subjects:
Technology: general issues
image dehazing
traffic video dehazing
dark channel prior
spatial-temporal correlation
contrast enhancement
traffic signal control
game theory
decentralized control
large-scale network control
railway intrusion detection
scene segmentation
scene recognition
adaptive feature extractor
convolutional neural networks
in-cylinder pressure identification
speed iteration model
EKF
frequency modulation
amplitude modulation
sensor synchronization
microscopic traffic data
trajectory reconstruction
expectation maximization
vehicle matching
artificial neural networks
metro
transportation
user flow forecast
matrix inversion
time-varying matrix
noise problem in time-varying matrix inversion
recurrent neural network (RNN)
RNN-based solver
real-time fast computing
real-time estimation
probe vehicle
traffic density
neural network
level of market penetration rate
deep neural network
neural artistic extraction
objectification
ride comfort
subjective evaluation
road surface recognition
Gaussian background model
abnormal road surface
acceleration sensor
traffic state prediction
spatio-temporal traffic modeling
simulation
machine learning
hyper parameter optimization
ITS
crash risk modeling
hazardous materials
highway safety
operations research
prescriptive analytics
shortest path problem
trucking
vehicle routing problem
data visualization
descriptive analytics
predictive analytics
urban rail transit interior noise
smartphone sensing
XGBoost classifier
railway maintenance
vehicle trajectory prediction
license plate data
trip chain
turning state transit
route choice behavior
real world experiment
Intelligent Transportation Systems (ITS)
advanced traveler information systems (ATIS)
connected vehicles
particle filter
Kalman filter
road safety
travel time information system
safety performance function
bicycle sharing systems
public transport systems
data-driven classification of trips
BSS underlying network
trip index
automatic rail-surface-scratch recognition and computation
triangulation algorithm
complete closed mesh model
online rail-repair
autonomous vehicle
obstacle avoidance
artificial potential field
model predictive control
human-like
variable speed limits
intelligent transportation systems
ITS services
driving simulator studies
traffic modelling
surrogate safety measures
driving safety
driving emotions
driving stress
lifestyle
sensors
heart rate
plate scanning
low-cost sensor
sensor location problem
traffic flow estimation
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Summary:Building around innovative services related to different modes of transport and traffic management, intelligent transport systems (ITS) are being widely adopted worldwide to improve the efficiency and safety of the transportation system. They enable users to be better informed and make safer, more coordinated, and smarter decisions on the use of transport networks. Current ITSs are complex systems, made up of several components/sub-systems characterized by time-dependent interactions among themselves. Some examples of these transportation-related complex systems include: road traffic sensors, autonomous/automated cars, smart cities, smart sensors, virtual sensors, traffic control systems, smart roads, logistics systems, smart mobility systems, and many others that are emerging from niche areas. The efficient operation of these complex systems requires: i) efficient solutions to the issues of sensors/actuators used to capture and control the physical parameters of these systems, as well as the quality of data collected from these systems; ii) tackling complexities using simulations and analytical modelling techniques; and iii) applying optimization techniques to improve the performance of these systems. It includes twenty-four papers, which cover scientific concepts, frameworks, architectures and various other ideas on analytics, trends and applications of transportation-related data.
Physical Description:1 electronic resource (494 p.)
ISBN:books978-3-0365-0849-8
9783036508481
9783036508498
Access:Open Access

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