In this work, we analyze road safety with an integration of multiple data sources on multiple scales. As a case study, we consider three datasets, including the nationwide Fatality Analysis Reporting System (FARS), the statewide traffic crashes in Maryland (MDCrash),
[Case Study] Road Safety: Data Analysis: City of Pittsburgh
This work combines social media and sensor data to measure the road safety in the Pittsburgh Metropolitan area. “An empirical study of combining participatory and physical sensing to better understand and improve urban mobility networks,” in Transportation Research Board (TRB)
Open Location Platform Unlocks the Values of Integrated Smart Technologies with IoT and Big Data for Smart Cities
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
Attended the International Consumer Electronics Show (CES) at Las Vegas, NV
Our co-founder, Dr. Wang attended the International Consumer Electronics Show (CES) held at Las Vegas, Nevada. CES is one of the largest global stages for innovation. According to the 2017 statistics, 184,279 attendees and more than 4000 exhibiting companies were
Presented our Work on Traffic Crash Data Analysis at TRB Annual Meeting
We presented our work on traffic crash data analysis at the 97th Transportation Research Board (TRB) Annual Meeting. “Multiscale crash analysis: A case study of integrating FARS, Maryland’s crash data, and Montgomery County’s traffic violation data,” in Transportation Research Board (TRB)
Presented our work about Multi-Source Data Analysis on Traffic Crashes in the Transportation Techies Community
Our co-founder, Dr. Xie shared our work on transportation safety analysis made by fusing multi-source traffic data in the transportation techies community. Here is the report by Mobility Labs: “This can build upon the work of Techies like Xiao-Feng Xie, who pulled
Presented Work on Smart Mobility in the Traffic Techies Community
Our co-founder, Dr. Xie, shared his work on smart urban signal networks and latest progresses on optimize multimodal urban traffic and other transportation innovations. Here is the report by Mobility Labs: “… Xiao-Feng Xie focused on smart urban-signal networks, developing programs that
Pedestrians and Bicyclists Call for the Innovations of Smart Transportation Technology for a Better Safety and Mobility
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
Big Data Driven Smart Transportation: the Underlying Story of IoT Transformed Mobility
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 IoT for Transportation: In-Vehicle System to Make Better & Safer Decisions
We proposed a smart IoT prototype to make in-vehicle decisions for improving both traffic safety and mobility. This technique can be combined with the smart traffic signals to gain more potential in achieving safer and more sustainable urban mobility. “Integrated in-vehicle decision