Harnessing the power of big data to address transportation challenges.

Conducting a detailed, multivariate statistical assessment of pavement treatments by public-private partnerships, and studying their performance in terms of extending pavement lives.
The project suggests a bottom-up travel behavior driven approach which obtains trends in individual travel behavior first and use such information to enhance longitudinal origin-destination demand monitoring.
Examining in-vehicle and infrastructure-based technologies to assess how they might impact emergency responders, particularly EMS.
Investigating how multiple traffic data sources can be integrated in a consistent manner, and how they may be best used for arterial performance measurement.
Developing a predictive statistical framework to efficiently estimate the ability of a bike-sharing system to serve incoming bike requests.
The project proposes a deep learning model to predict the best recharging recommendation including best recharging time and location for eTaxi drivers.
The recent network disruptions in the Washington Metro system showed the new reality associated with aging transit infrastructure and highlighted the potential severity of such disruptions. However, relevant studies in the literature are limited and agencies need more empirical evidence to help them better planning and implementing maintenance work.
Developing a smartphone-based travel behavior data collection platform that recruits participants by rewarding users with real-time parking information.
Developing a novel green navigation system, called Green Nav, that gives a driver the most fuel efficient route for his vehicle as opposed to the shortest or fastest route.

We mine a wealth of data by employing a wide variety of methods, tools and models, including those from artificial intelligence (AI), machine learning, statistics, and database systems.  

When these methods are applied to large datasets that have been appropriately compiled and fused together, the result is invaluable and actionable information that can help improve the efficiency, safety, sustainability and resiliency of transportation systems. Our results inform and guide transportation planning, investment decisions, and transportation policies.

Changing The Way The World Works

SSISTL's Benefactor and Professor of Practice, Stephen Still, is featured in UB's We Are Boldy Buffalo Campaign. Stephen gave $4 million to support the Stephen Still Institute for Sustainable Transportation and Logistics. His gift–and many other gifts–are being immediately invested in opportunities for faculty and students to address society’s biggest transportation challenges.

Transportation News

3/31/20

Civil engineering alumnus Stephen Still has donated $10,000 to UB’s student emergency funds, to help students with limited access to food, housing, technology and other critical resources.

9/23/19

The customized Lincoln MKZ will help boost the university’s research enterprise in connected and autonomous vehicles.

12/15/15

Chunming Qiao received the 2015 Distinguished Technical Achievement Award from IEEE’s Communications Society Communications Switching and Routing Technical Committee.