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
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
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
Our work on combined traffic control and route choice optimization for traffic networks with disruptive changes appears on Transportmetrica B: Transport Dynamics.
“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 =
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.
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
According to the combined data of the traffic safety statistics of 2013-2015 from DDOT and the crash data from Open Data DC, there were 707.4 bike crashes per year in average between 2012-2016, where 46.8 bicyclists were fatal or major
Bikesharing has gradually become an adopted form of mobility in urban area recent years as one sustainable transportation mode to bring us many social, environmental, economic, and health-related benefits and rewards. There is increased research toward better understanding of bikesharing
Our work on bike sharing data analysis and implications for data-driven decision supports appears on Journal of Transport Geography.
