Although bicycling and walking were not used extensively as travel modes before, they have been showing a fast increasing trend of being adopted and used for recent years according to transportation data. More people would like to bike or walk to commute, for exercise, or just for fun, due to the well-known health, environmental and economic benefits. This change is transforming transportation towards multimodal systems supporting a more livable,
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 are entering a “results driven” era in transportation. As the front and center of the smart IoT transformed mobility, transportation data sets grow rapidly while they are increasingly gathered from more con
We presented our work on a smart IoT prototype for transportation at 96th Transportation Research Board (TRB) Annual Meeting. This technique can be combined with the smart traffic signals to gain more potential in achieving safer and more efficient urban mobility. Making inappropriate driving decisions at signalized intersections is one of the major reasons causing accidents. In this paper, the authors present an integrated in-vehicle decision su
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 many benefits to improve public transportation. Supported by the smart IoT connectivity integrated with Artificial Intelligence (AI), various on-board systems for transit vehicles have emerged
We presented our work on data-driven smart mobility at the Workshop on Smart Cities & Connected Communities. This Workshop aims to bring together leaders in community and economic development, government, science, and technology to chart a course for future R&D investment and build collaborative private, non-profit, and public sector partnerships that address sustainability challenges for livable communities. Our work combined social medi
Our work on leveraging optimization with mixed individual and social learning in CGO appears on Applied Soft Computing. You can free access to the article through this link. X.-F. Xie, Z.-J. Wang. Cooperative group optimization with ants (CGO-AS): Leverage optimization with mixed individual and social learning. Applied Soft Computing, 2017, 50: 223-234. [DOI] We present CGO-AS, a generalized Ant System (AS) implemented in the framework of Coopera
Low Power Wide Area (LPWA) Networks are the key unlocking the enormous potential of smart Machine-to-Machine (M2M) applications and Internet of Things (IoT) solutions. Experts predict that the global market of LPWAN will grow at a Compound Annual Growth Rate (CAGR) of 89.3% from 2016 through 2021. As the technology working virtually with LPWAN, Narrow Band (NB) and Long Range (LoRa) IoT offers a number of significant benefits in terms of costs,
The WIOMAX Smart City Blog is hosted by our innovation research group to share a common vision from our research and basic industrial applications, and to make our dream of connecting world for a better life come true via smart and scalable solutions in cities. We also accept guest blogs, please contact us if you are interested.
The WIOMAX Smart Transporation Blog is hosted by our innovation research group to share a common vision from our research and basic industrial applications, and to make our dream of connecting world for a better life come true via smart and scalable solutions in transportation and logistics. We also accept guest blogs, please contact us if you are interested.
During October 18-20, our co-founder, Dr. Xie, as an invited 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 conference attracted many companies to exhibit their prototypes and solutions of the Internet of Things (IoT) and big data analytics, for various application