Harnessing the power of big data to address transportation challenges.

Trucks Driving on a Highway.

The project investigates how real-time conditions interact to affect driver safety performance changes. From that understanding, practitioners and drivers can make more informed decisions to reduce the likelihood of a crash.

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.

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.

Cyber transportation - Connected Vehicles.

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

Novel Machine Learning.

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

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.

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.

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.

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.

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.

Upcoming Events

blue roadway.

This symposium includes informative lectures, discussions, and enlightening activities, and will showcase not only the experience and innovative thinking of our speakers and guests, but TransInfo's ability to present Transportation Informatics in a way that is both stimulating and relevant.

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

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.

  • 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

    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