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The New Jersey Department of Transportation is soliciting proposals for a study that will quantify the economic and congestion-relief benefits from transit service to recreational activities in three specific market areas. Transit service to these market areas is provided by NJ TRANSIT.
Traffic congestion on American roadways, especially in major metropolitan areas, has been exacerbated by increasing use of vehicles with single drivers. The long-term goal of this research initiative is to reshape our infrastructure systems for improved sustainability and efficiency. To this end, the Open-Mode Integrated Transportation System (OMITS) integrates multiple transit modes, such as carpool, vanpool, bus, and train, to provide optimal transit service and real-time traffic information and prediction with wireless communication and database management.
Super Storm Sandy made landfall in southern New Jersey, near Atlantic City, on 29 October 2012, devastating the coastline of New York and New Jersey. The unique path taken by Sandy placed the communities and infrastructure of the Port of New York and New Jersey directly in the path of the most damaging part of the storm. Ports are critical element in the global supply chain and any disruption in that transportation system can have significant impacts on the U.S. economy.
The New York State Department of Transportation (NYSDOT) intends to revise its current policies to adopt LRFR as the analytical method for load rating and load posting of bridges and for evaluating overweight permit vehicles. To that end, new procedures similar to current NYSDOT procedures but based on the LRFR methodology need to be developed.
In summary, the term warm mix asphalt (WMA) refers to technologies and systems that allow for the substantial reduction in production and compaction temperatures of hot mix asphalt. The original intent of utilizing WMA was to provide better workability and compaction of asphalt mixtures at significantly lower temperatures. In addition, WMA was developed to reduce emissions and energy production usage and their associated production energy costs.
The goal of this proposal is to develop novel modeling techniques to infer individual activity patterns from the large scale cell phone datasets and taxi data from NYC. As such this research offers a paradigm shift from traditional transportation modeling by using large scale, disaggregate data and provides an unique perspective to understand the complex interactions among human behavior, urban environments and traffic patterns.
In the last several years there has been a surge of interest in fostering more sustainable logistical operations in urban areas. Under the umbrella of the generic term City Logistics, these initiatives try to take advantage of the coordinating power of a municipal government to convince urban delivery companies to participate in collaborative schemes that by reducing truck trips, increasing the utilization of trucks, or both, may reduce the negative externalities associated with urban truck traffic.
New York City Department of Transportation (NYCDOT) over the past few years has been upgrading its Intelligent Transportation Systems (ITS) infrastructure. Specifically NYCDOT has been installing Advanced Solid State Traffic Controllers (ASTC), a city wide wireless network (NYCWiN), and a sophisticated Traffic Control System (TCS) in the Traffic Management Center (TMC).
Over the past century, our nation has experienced dramatic changes in demographics, and existing sociotechnical systems have become more complex and increasingly networked. To complicate matters, our cyberphysical infrastructure has not been maintained, causing unexpected vulnerabilities and cascading failures (ASCE, 2009; AWWA, 2001). As extreme events frequency and magnitude of resulting disasters have increased, emergent behavior, unexpected performance response, and lack of resilience have been noted (Sanford Bernhardt and McNeil, 2008).
