Road Weather Information System (RWIS) technology is a useful tool in evaluating road conditions in cold climates, and is helpful in optimizing the timing of salting/plowing procedures, as well as the quantity of salt used. RWIS technology is used as a means of improving the costeffectiveness of winter road maintenance. Most agencies use RWIS data to predict winter storms that can justify snow and ice control, plowing, and chemical, salt, and sand operations.

A series of transportation related legislations, from ISTEA (1991) to FAST (2015), have been consistently mandating the Congestion Management Plan as integral part of longrange transportation planning (LRTP) for metropolitan areas in the US. As the critical elements of CMP, performance measures, such as travel time and speed, traffic volume and roadway characteristics, are not collected by a single entity, public or private, therefore; it is a challenge to develop performance measures using data from various sources.

Technology advancement is bringing many changes to the transportation system. Some well- known examples are connected and autonomous vehicles and on-demand mobility services (including the ride-hailing services such as Uber and on-demand home deliveries). In short term, these emerging technologies and services may enhance the efficiency of transportation system operation, improve traffic condition and residents’ quality of life. In long term, they will change people’s perception of travel time and traffic safety conditions, and reshape their behavior.

Vehicle-generated emissions remain a serious threat to the health of urban and suburban communities. Among the strategies implemented to address this environmental problem are area- and cordon-based pricing (ACP) schemes. Experiences in major cities such as London, Stockholm, and Milan show that ACP schemes are effective in reducing traffic emissions and the related public health risks. However, designing ACP schemes continues to be a challenging task given the complexities of estimating the effects of this type of strategy.

In the early 1980’s, promoters who wanted to build new, very high speed, rail lines in states such as California, Florida, and Texas, were obliged to rely on foreign rail technology and expertise. This research Report explains how, when, and why that dependence developed, and assesses the problems associated with importing foreign technology. The research disputes the oversimplified notion that the decline of American passenger railroads in the 1950’s and 1960’s led directly to reliance on Japanese, French, and other foreign technology.

Anonymous probe vehicle data has become an important data source to evaluate the performance of highways and arterials
roadway systems. By using predefined spatially located segments, Traffic Message Channels (TMCs) and XD Segments, temporal
probe vehicle speed data that includes timestamp and an average speed can be collected and analyzed for each segment. This
data has been used to develop agency-wide performance measures to better plan and manage infrastructure assets.

This project makes a computer modeling study on vulnerability of coastal bridges in New York City (NYC) metropolitan region to storm surges and waves. Prediction is made for potential surges and waves in the region and consequent hydrodynamic load and scour at bridge piers in conditions of climate change/sea level rise (SLR) and change in hurricane patterns.

It is now common for transit operators to provide real-time information (RTI) to passengers about the location or predicted arrival times of transit vehicles. The Metropolitan Transportation Authority (MTA) in New York City has recently made RTI available for most of the subway, which is the largest urban heavy rail system in the United States. In light of this, the objective of this research is to investigate how RTI is likely to impact subway passengers in New York City. The method is a two-part literature review of prior studies that assess the passenger benefits of providing RTI.

Demand for vehicle and public transportation systems continues to increase in and around major urban centers. This increase is especially pronounced during the morning and evening commutes and is further complicated by the complex spatial interactions that influence the variation in system demand.

Traffic congestion is an important aspect of quality of life, mobility and accessibility in urban areas. The economic cost of congestion is in the order of billions of dollars especially for dense urban cities. Besides the congestion which relates to the magnitude of travel time, travel time variability is also studied extensively by researchers as an additional measure for transportation network efficiency. In order to enhance the efficiency of urban traffic flow in New York City, numerous policies have been discussed, including different transportation pricing schemes.