publication . Preprint . 2016

Network Analysis of Urban Traffic with Big Bus Data

Zhao, Kai;
Open Access English
  • Published: 21 Jun 2016
Urban traffic analysis is crucial for traffic forecasting systems, urban planning and, more recently, various mobile and network applications. In this paper, we analyse urban traffic with network and statistical methods. Our analysis is based on one big bus dataset containing 45 million bus arrival samples in Helsinki. We mainly address following questions: 1. How can we identify the areas that cause most of the traffic in the city? 2. Why there is a urban traffic? Is bus traffic a key cause of the urban traffic? 3. How can we improve the urban traffic systems? To answer these questions, first, the betweenness is used to identify the most import areas that cause...
ACM Computing Classification System: ComputerSystemsOrganization_MISCELLANEOUSComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSComputerApplications_MISCELLANEOUS
free text keywords: Physics - Physics and Society, Computer Science - Social and Information Networks
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