The primary objectives of this research study are (1) to deploy some promising low-cost portable and integrated multi sensor systems for data-driven performance evaluation of urban transportation networks and (2) to develop a system capable of real-time remote monitoring of external changes, such as air quality, noise, humidity, temperature, and crowd and vehicular densities in an urban setting.

With improvements in mobile information and communication technologies (ICT) and the increasing presence of innovative mobility services such as car-sharing, bike-sharing and ride-sourcing services, regional planning organizations (MPOs) critically consider these travel options in their strategic planning. The transportation modeling community increasingly view these scenarios as two-sided markets, where the service providers (suppliers) endogenously adjust their aspirations and behavior in relation to a dynamic traveler demand response.

Transportation systems create new technical and environmental challenges including noise and ground vibration, which affect ambient architectures, quality of life, and sustainability of the communities. Noise and vibration assessments become key elements of the environmental impact assessment process for mass transit projects, and noise and vibration are among the major concerns with regard to the effects of a transit project on the surrounding community.

In this study, advances were made toward implementation of a geographic information system (GIS)-based scour risk assessment program facilitated by autonomous underwater vehicle (AUV) missions.

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.

In recent years, there has been a significant shift in how people use the transportation system. New technologies have resulted in new trends surrounding transportation. In this study, three emerging trends were considered: delivery lockers, crowd delivery, and autonomous vehicles.

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.