Harnessing the power of big data to address transportation challenges.

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.

Inferring Origin-Destination Demand and Utility-Based Travel Preferences in Multi-Modal Travel Environment Using Automatic Fare Collection Data

Understanding and expressing public transit system utilization based on fundamental travel behavior.

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.

Developing a Smartphone App Platform to Decipher Travel Behavior

Developing a smartphone-based travel behavior data collection platform that recruits participants by rewarding users with real-time parking information.

Obtaining Quality Big Data via Crowdsourced Road Sensing System

This project develops novel data mining methodologies that integrate heterogeneous urban data for the estimation of city-wide transportation information.

Rendering of analytical data meeting a road with traffic signs.

Pooling P3 project data from various sources to build a database that can be analyzed and used to inform future decision making.

Cyber transportation - Connected Vehicles

Creating a mobile computer application for documenting and sharing data regarding vehicular accidents.

Paratransit Vehicle

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

Social Media Logos

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.

Highway

Examining in-vehicle and infrastructure-based technologies to assess how they might impact emergency responders, particularly EMS.

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

    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

  • 11/1/17

    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

  • 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

  • 11/2/17

    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.

Transportation News

5/2/13

Ten proposals from across the university have been awarded funding for 2012-13 from the “E Fund,” a competitive program to spur collaborative initiatives that will expand the institution’s impact and enhance the student educational experience.

10/4/13

A UB-led research team has received a $1.4 million federal grant to "mine" data collected by GPS units and smartphones to enhance and improve transportation systems and policy.

12/6/12
Two UB experts will be doing important work on commissions analyzing how New York State can strengthen its response to natural disasters like Hurricane Sandy, which destroyed homes through wind, flood and fire, and left millions of people without electricity, transportation and other critical services for days or weeks.
7/5/17

Whether you drive, ride public transit, bike or walk, chances are you encounter transportation problems. UB is using technology to help solve those problems.

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>