Reaching Others University at Buffalo - The State University of New York
Skip to Content

Logistics Supply Chain Management and Intermodal Transportation

Intermodal transportation

This area will focus on logistics, supply chain management and intermodal transportation for freight. 

Activities will be centered on establishing the Buffalo-Niagara region as a logistics hub, by leveraging the region’s transportation/logistics assets, and by strengthening ties with Canada.  To do this, the ISTL will partner with the railroad and trucking industry and logistics companies. 

Projects

Freight Movement

Freight transportation, which is the one of the most important components of the transportation system, will significantly affect the overall performance and recovery processes of systems under multiple hazard situations. On one hand, the commercial vehicle flows compete with passenger car flows for the capacities of road networks, and thus increase the level of congestion. On the other hand, effective freight movement is the key to the success of any transportation risk management or recovery systems, particularly in the multiple hazard situations involving large-scale disasters. In this context, this task is intended to integrate a freight travel demand forecasting component into the transportation risk-management research under multiple hazard situations, with an emphasis on commercial vehicle movements. With the addition of the freight-travel demand model, the improved framework of risk management will have the capacity to assess the impacts of multiple hazards on both passenger and freight transportation, and thus result in a complete risk assessment and management system. The focus of this task will be on how to model freight travel demand under multiple hazard situations, including earthquakes, inclement weather, major accidents on highway bridges and critical links, emergency evacuations, and combinations consisting of two or more of such hazards.

Participants

  • Adel W. Sadek, Ph.D., Department of Civil, Structural and Environmental Engineering
  • Qian Wang, Ph.D., Department of Civil, Structural and Environmental Engineering

Funding Source

  • Federal Highway Administration

A Prototype Decision Support System for Optimally Routing Border Crossing Traffic Based on Predicted Border Crossing Times

The economic vitality of the “Golden Horseshoe,” a densely populated and industrialized region which encompasses Ontario and parts of New York State including the Buffalo-Niagara Region, is heavily dependent upon the ability to move goods freely and efficiently across the Canadian-US border. This highlights the critical importance of the Niagara Frontier borders, which in fact is one of the busiest international crossings in the United States. In recent years, and as a result of the continued increase in travel demand across the border coupled with the need for tighter security and inspection procedures after September 11, border crossing delay has become a critical problem with tremendous economic and social costs. The purpose of this project is to develop a prototype system for border crossing traffic management system, whose ultimate goal would be to direct the Niagara Frontier border-destined traffic in an optimal fashion that would maximize system efficiency and minimize the negative impacts of border crossing delays. The proposed prototype consists of two components. The first component is a predictive tool to forecast the short-term border crossing travel times and delays at three key border crossings in the region (i.e. the Peace Bridge, the Rainbow Bridge, and the Lewiston-Queenston Bridge). The second component is a Decision Support System (DSS) for optimally routing border-destined traffic based on the predicted border crossing travel times derived from the predictive tool. Data for building the predictive model will be obtained from the Niagara International Transportation Technology Coalition (NITTEC), a coalition of fourteen different agencies in Western New York and Southern Ontario region that employs the latest Intelligent Transportation Systems (ITS) technologies to monitor and manage regional traffic. 

Participants

  • Adel W. Sadek, Ph.D., Department of Civil, Structural and Environmental Engineering
  • Qian Wang, Ph.D., Department of Civil, Structural and Environmental Engineering

Funding Source

  • The Region 2 University Transportation Research Center (UTRC)