The Center for Infrastructure, Transportation, and the Environment (CITE) is known generally for sustainable freight system and freight transportation planning research, as well as transportation planning, design and operations, modeling and simulation, disaster response logistics, traffic signal system control, and transportation-related behavioral research. The research can be organized into three focus areas: freight research, disaster response, and smart transportation systems.
In addition to having diverse topics, the research performed in CITE ranges in approach from fundamental or basic research to development, testing, and implementation phase projects. The team’s breadth of knowledge enables a comprehensive understanding of the complexities involved in today’s transportation and infrastructure problems, and is foundational to developing novel solutions.
The goal of this project is to foster the adoption of energy efficient logistics (EEL) in the Albany to New York City Corridor using collaborative public and private sector approaches that will benefit both. This project will gain insight into how to induce supply chains to adopt energy efficient technologies and operations. The project will also provide public sector decision-makers with the procedures and tools needed to determine the best ways to reduce freight energy use. Read more about Energy Efficient Logistics
This project is an innovative example of receiver-centered freight TDM. This initiative relies on incentives (financial or otherwise) to induce receivers to accept deliveries in the off-hours (7PM to 6AM). Since the incentives remove the opposition of the receivers, and the carriers are generally in favor, entire supply chains can switch to the off-hours, and the effect of these shifts reverberate through entire supply chains. Read more about Off-Hour Delivery
This research seeks to provide improved freight generation (FG) and freight trip generation (FTG) models for different land use characteristics related to freight facilities and commercial operations to better inform state and local decision-making. Read more about Freight Trip Generation models
The project develops a state-of-the-art Decision Support System (DSS) that, using network condition and disaster impact assessments provided by Commercial Remote Sensing (CRS), will compute optimal Access Restoration Plans (ARP). Read more about Remote Sensing
The project will provide practitioners with comprehensive, pragmatic, and actionable guidelines on how to plan, design, and implement both supply and demand strategies. Read more about Improving Freight System Performance