Harnessing the power of big data to address transportation challenges.

Analyzing traffic violations and traffic crash records to develop a probabilistic model that will help detect high risk drivers with the main goal of preventing future crashes.

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

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.

Mining social media data to deduce useful information about present or future travelers’ behavior, with a special emphasis under events, including both planned and unplanned.

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

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

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

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.

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

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

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

9/23/19

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

12/2/15

It’s “Snowing like CRAZY up in here” and other tweets can boost computer models that guide traffic.

12/20/16

The grant builds upon UB’s interdisciplinary research efforts to make traffic systems smarter, safer and more sustainable.