Research

Smart IoT for Transportation Studies

The Internet of Things (IoT) is an environment in which physical “things” embedded with electronics, software, sensors, and network connectivity, with the ability to transfer data, and to generate collaborative outcomes. We have focused the applications of smart IoT in

[Case Study] Smart IoT | Artificial Intelligence (AI) | Urban Traffic Control | Pittsburgh, PA

The smart and scalable urban traffic control system can be seen as an Internet of smart intersections (things), where each intersection is an intelligent entity equipped with an artificial intelligence (AI) brain called schedule-driven intersection control (SchIC) to optimize traffic

[Case Study] Smart IoT | Intersection Safety

In this project, we have proposed an integrated in-vehicle decision support system to help driver make better and safer stop/go decisions as a vehicle is approaching a signalized intersection. “SIV-DSS: Smart in-vehicle decision support system for driving at signalized intersections

[Case Study] Road Safety: Data Analytics: Montgomery County, MD

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)

Road Traffic Safety Studies

Road traffic safety is a serious issue raising increased public concerns. According to the 2015 report by World Health Organization (WHO), globally there were 1.25 million road traffic deaths in 2013, and up to 50 million more per year suffering

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

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