Harnessing the power of big data to address transportation challenges.

Obtaining Quality Big Data via Crowdsourced Road Sensing System.

Creating a quality-aware crowdsourced road sensing system that integrates sensory data from multiple vehicles while placing more weight on the vehicles that provide high quality data to significantly improve integration accuracy.

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.

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.

Electric vehicle charging station on UBs north campus.

Extending the work that was completed for year one funding related to “Developing Highway Safety Performance Metrics in an Advanced Connected Vehicle Environment Utilizing Near-Crash Events from the SHRP 2 Naturalistic Driving Study.”

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.

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.

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.

Novel Machine Learning.

Exploring the potential for using a number of machine learning and data mining methods to analyze accident data.

Incident Response Control Center.

Exploring historical incident and traffic data to revolutionize response strategies.

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

    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

  • 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

    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

Transportation News

10/5/17

Stephen Still’s gift will create an endowment to support the Institute for Sustainable Transportation and Logistics.

12/15/15

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

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.

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>