Exploring Resilient Observability in Traffic-Monitoring Sensor Networks: A Study of Spatial-Temporal Vehicle Patterns

Vehicle mobility generates dynamic and complex patterns that are associated with our day-to-day activities in cities. To reveal the spatial temporal complexity of such patterns, digital techniques, such as traffic-monitoring sensors, provide promising data-driven tools for city managers and urban pl...

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Veröffentlicht in:	ISPRS international journal of geo-information 2020-04, Vol.9 (4), p.247, Article 247
Hauptverfasser:	Tang, Junqing, Wan, Li, Nochta, Timea, Schooling, Jennifer, Yang, Tianren
Format:	Artikel
Sprache:	eng
Schlagworte:	Case studies Cities Complexity Computer Science Computer Science, Information Systems Decision making Digital techniques Failure analysis Failures Geography, Physical Literature reviews Mobility Monitoring Networks Physical Geography Physical Sciences Recovery Remote Sensing Resilience Science & Technology sensor networks Sensors Simulation Smart cards Social networks spatial–temporal analysis Technology Temporal variations Traffic congestion traffic-monitoring sensors Urban planning vehicle mobility Wireless networks
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