Harnessing the power of big data to address transportation challenges.

Cyber transportation - Connected Vehicles

Investigating how multiple traffic data sources can be integrated in a consistent manner, and how they may be best used for arterial performance measurement.

Border crossing at Niagara Falls (Rainbow Bridge)

Developing models that will predict the delay a passenger car or a truck is likely to encounter by the time the vehicle arrives at the border.

Paratransit Vehicle

Incorporating data analytics into paratransit planning and operations is a promising approach for increasing their cost-effectiveness.

Cyber transportation - Connected Vehicles

Developing the tools needed to process immense amounts of data, develop new performance metrics based on the data collected, and propose methods to enhance performance.

Photo of an eTaxi

The project proposes a deep learning model to predict the best recharging recommendation including best recharging time and location for eTaxi drivers.

Incident Response Control Center

Exploring historical incident and traffic data to revolutionize response strategies.

Gas Pump

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.

Data Warehouse for Buffalo-Niagara region

Designing a transportation data-warehouse prototype for the Buffalo-Niagara region and demonstrating its usefulness through a specific application.

Achieving fuel economy via agent-based models

Integrating machine learning, big data, sensor networks, and agent-based transportation modeling to prototype an algorithm that combines the power of a model-driven approach with the power of big data.

Bikes

Developing a predictive statistical framework to efficiently estimate the ability of a bike-sharing system to serve incoming bike requests.

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.

  • 11/1/17

    GMU is a young university that has made impressive strides in size, stature and influence. Today, GMU is Virginia’s largest public research university.


    Leader Scholar:
    Dr. Shangjian Zhu

  • 11/1/17

    The Mayagüez Campus of the University of Puerto Rico is a co-educational, bilingual, and non-sectarian school with 106 years of educational excellence.


    Leader Scholar:
    Dr. Ivette Cruzado

  • 11/2/17

    UB is the premier public research university in the northeastern United States and the largest and most comprehensive campus in the 64-campus SUNY system.


    Leader Scholar: Dr. Adel W. Sadek

  • 11/1/17

    CUBRC is a leading research, development, testing and systems integration company specializing in the areas of data science and information fusion; chemical, biological and medical sciences; and aeronautics.

  • 11/1/17

    RPI is America’s first technological research university and a leader in educating men and women in vanguard technological and scientific fields.


    Leader Scholar:
    Dr. Xuegang (Jeff) Ban

Transportation News

12/15/15

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

7/31/15

The event, entitled Big Data Analytics Transforming Transportation Operations, Management and Safety, is presented by UB's Transportation Informatics center and will be held August 13-14, 2015, in Buffalo.

10/12/05
Faculty experts from the University at Buffalo Law School and School of Management are available for commentary on Delphi's bankruptcy and its likely impact on Delphi workers, the Buffalo Niagara economy and the U.S. auto industry.
4/15/14
Changhyun Kwon, Assistant Professor in the Department of Industrial and Systems Engineering, received a 2014 NSF CAREER Award for his proposal, “Advancing Routing Methods in Hazardous Materials Transportation.”

2017 CUTC SUMMER ANNUAL MEETING

Downtown Buffalo

TransInfo, in partnership with the Stephen Still Institute for Sustainable Transportation and Logistics, hosted the 2017 Annual Summer Meeting of the Council of the University Transportation Centers (CUTC).

About the 2017 CUTC Meeting>