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Books > Computing & IT > Applications of computing > Artificial intelligence
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Mobility Data-Driven Urban Traffic Monitoring (Paperback, 1st ed. 2021)
Loot Price: R1,938
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Mobility Data-Driven Urban Traffic Monitoring (Paperback, 1st ed. 2021)
Series: SpringerBriefs in Computer Science
Expected to ship within 10 - 15 working days
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This book introduces the concepts of mobility data and data-driven
urban traffic monitoring. A typical framework of mobility
data-based urban traffic monitoring is also presented, and it
describes the processes of mobility data collection, data
processing, traffic modelling, and some practical issues of
applying the models for urban traffic monitoring. This book
presents three novel mobility data-driven urban traffic monitoring
approaches. First, to attack the challenge of mobility data
sparsity, the authors propose a compressive sensing-based urban
traffic monitoring approach. This solution mines the traffic
correlation at the road network scale and exploits the compressive
sensing theory to recover traffic conditions of the whole road
network from sparse traffic samplings. Second, the authors have
compared the traffic estimation performances between linear and
nonlinear traffic correlation models and proposed a dynamical
non-linear traffic correlation modelling-based urban traffic
monitoring approach. To address the challenge of involved huge
computation overheads, the approach adapts the traffic modelling
and estimations tasks to Apache Spark, a popular parallel computing
framework. Third, in addition to mobility data collected by the
public transit systems, the authors present a crowdsensing-based
urban traffic monitoring approach. The proposal exploits the
lightweight mobility data collected from participatory bus riders
to recover traffic statuses through careful data processing and
analysis. Last but not the least, the book points out some future
research directions, which can further improve the accuracy and
efficiency of mobility data-driven urban traffic monitoring at
large scale. This book targets researchers, computer scientists,
and engineers, who are interested in the research areas of
intelligent transportation systems (ITS), urban computing, big data
analytic, and Internet of Things (IoT). Advanced level students
studying these topics benefit from this book as well.
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