In this blog, we use data visualization and data analytics to provide some basic understandings of the origin-destination (O-D) flows between stations in a bike-sharing system. Part of this blog is adapted from the following research paper: X. Xie and Z.
Here are some case studies that WIOMAX researchers and engineers have done on data analytics and urban computing. We hope these knowledge would significantly contribute to deeper understandings and potential improvements that lead to smart transportation.
Our work on bike sharing data analysis and implications for data-driven decision supports appears on Journal of Transport Geography.
A platform specializing in geospatial data is often referred to as a Location Platform (LP) or Location Based Services (LBS) platform. Different from Geographic Information System (GIS), which is a system designed to capture, store, manipulate, analyze, manage, and present
Growing of smart IoT has generated many major impacts on transportation development, of which one underlying big story is the thriving of big data driven smart transportation nowadays. We are moving from IT to data technology (DT) time, and we
Smart Internet of Things (IoT) in transit service has public transits connected to the networks accessible via internet. The networks connect to each other also the external environment to share data picked up by sensors on the transits themselves, offering
Our Co-Founder, Dr. Xie, presented our work on Smart Mobility for Sustainable Urban Communities at the Workshop on Smart Cities & Connected Communities. Sponsored by the National Science Foundation (NSF), this workshop aims to bring together leaders in community and economic development, government,
During October 18-20, our co-founder, Dr. Xie, invited by Dell as an influencer in smart IoT, attended the Dell EMC World 2016 held at Austin, Texas. Nearly 8,000 IT professionals all over the world attend the technology conference to learn the transformation process towards digital enterprises.The
The applications of the Internet of Things (IoT) have been growing dramatically in recent a few years. According to IDC, the transportation sector will be among the first to see a significant growth from the IoT, and the global IoT market in
The work on analyzing traffic impacts under arterial road closures using machine learning techniques on traffic flow data was published online on Journal of Transportation Engineering by American Society of Civil Engineers (ASCE). Y. Gu, Z. Qian, and X. Xie,