Data Description The DC Taxicab trip data contains the taxi trips for either pick up or drop off locations within District of Columbia (DC), which can be downloaded from Open Data DC. The data is provided by the Department of
WIOMAX participates in the GCTC – Smart and Secure Cities and Communities Challenge
WIOMAX has participated as a transportation action cluster in the Global City Teams Challenge (GCTC) program. GCTC is a collaborative platform organized by National Institute of Standards and Technology (NIST) for the development of smart cities and connected communities. The
What can Bike-Sharing System Data Tell Us about Operations: Case Study of Corral Service
Operations are important for maintaining daily functions of a bikeshare system (BSS). Here, we analyze and try to measure the efficiency of operating activities of bikeshare through data analytics. We take the valet and corral service as an example of
Using Data Visualization and Analytics for Understanding O-D Flows in Bike-Sharing System
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: “Examining travel patterns and
[Case Study] Data Analytics: Combining Participatory and Physical Sensing: Urban Mobility & Traffic Safety
This work combines social media and sensor data to measure the urban mobility and 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 and Studies on Smart Mobility and Road Safety
Here are some recent case studies that WIOMAX researchers and engineers have done on smart transportation and road safety studies.
What can Bike-Sharing System Data Tell Us about Mobility and Role of Bike Infrastructure
In urban mobility, travel or trip speed is important. For each bicycle trip, its bikeshare use time provides an upper bound of travel time. Particularly, for the utilitarian O-D trips, the bikeshare use time approaches the travel time if there
Work on combined traffic control and route choice optimization appears on Transportmetrica B
Our work on combined traffic control and route choice optimization for traffic networks with disruptive changes appears on Transportmetrica B: Transport Dynamics.
[Case Study] Combined Traffic Control and Route Choice Optimization: Pittsburgh
“Combined traffic control and route choice optimization for traffic networks with disruptive changes,” Transportmetrica B: Transport Dynamics, vol. 7, iss. 1, 2019. @Article{Xie2018RCTC2, Title = {Combined traffic control and route choice optimization for traffic networks with disruptive changes}, Author =
[Case Study] Taxi O-D trips: Urban Mobility: Washington DC
We perform a systematic analysis on the large-scale taxi trip data to uncover urban mobility and city dynamics in multimodal urban transportation environments. As a case study, we use the taxi origin-destination trip data and some additional data sources in