Freight transportation

Over the last few years, a rapid explosion of new technologies has created opportunities to address critical freight transportation challenges in urban, suburban, and rural areas. These innovations include truck platooning, smart parking systems, collaborative and shared logistics techniques, and connected autonomous vehicles. These new technologies are influencing consumer behavior and reshaping freight supply chain management at the urban, regional, and international level. In order to understand how these innovations are changing the field of freight transportation, it is essential to understand how organizations choose to adopt innovations. Adoption methods available from consumer behavior research are mostly based on individuals, and there is limited material on the behavior of organizations in regards to innovation adoption. The general adoption methods cannot be directly used in modeling adoption of innovations by organizations without further study and modifications.
Approaches to innovation adoption can be broken into two sections: theoretical and methodological approaches. The theoretical approaches attempt to identify the forces that cause an organization to accept or reject an innovation. Once the forces have been identified, the theoretical approaches explain how the forces interact and influence the adoption process. Methodological approaches are composed of modeling techniques which can be applied to innovations in order to generate predictions of adoption patterns. By identifying the benefits and drawbacks of each approach, it is possible to select the most appropriate theoretical and methodological approach for organizational adoption.

The Freight Mobility Research Institute’s (FMRI) contribution focuses on promoting smart cities, improving multimodal connections, system integrations and security, data modeling, and analytical tools. The ultimate goal of the FMRI is to optimize freight movements for improving the overall freight transportation efficiency. The FMRI's mission is to address critical issues affecting planning, design, operation, and safety of the nation’s intermodal freight transportation systems, in order to strengthen nation’s
economic competitiveness.

The Freight Mobility Research Institute’s (FMRI) contribution focuses on promoting smart cities, improving multimodal connections, system integrations and security, data modeling, and analytical tools. The ultimate goal of the FMRI is to optimize freight movements for improving the overall freight transportation efficiency. The FMRI's mission is to address critical issues affecting planning, design, operation, and safety of the nation’s intermodal freight transportation systems, in order to strengthen nation’s
economic competitiveness.

The Freight Mobility Research Institute’s (FMRI) contribution focuses on promoting smart cities, improving multimodal connections, system integrations and security, data modeling, and analytical tools. The ultimate goal of the FMRI is to optimize freight movements for improving the overall freight transportation efficiency. The FMRI's mission is to address critical issues affecting planning, design, operation, and safety of the nation’s intermodal freight transportation systems, in order to strengthen nation’s
economic competitiveness.

The Freight Mobility Research Institute’s (FMRI) contribution focuses on promoting smart cities, improving multimodal connections, system integrations and security, data modeling, and analytical tools. The ultimate goal of the FMRI is to optimize freight movements for improving the overall freight transportation efficiency. The FMRI's mission is to address critical issues affecting planning, design, operation, and safety of the nation’s intermodal freight transportation systems, in order to strengthen nation’s
economic competitiveness.

The Freight Mobility Research Institute’s (FMRI) contribution focuses on promoting smart cities, improving multimodal connections, system integrations and security, data modeling, and analytical tools. The ultimate goal of the FMRI is to optimize freight movements for improving the overall freight transportation efficiency. The FMRI's mission is to address critical issues affecting planning, design, operation, and safety of the nation’s intermodal freight transportation systems, in order to strengthen nation’s
economic competitiveness.

The Freight Mobility Research Institute’s (FMRI) contribution focuses on promoting smart cities, improving multimodal connections, system integrations and security, data modeling, and analytical tools. The ultimate goal of the FMRI is to optimize freight movements for improving the overall freight transportation efficiency. The FMRI's mission is to address critical issues affecting planning, design, operation, and safety of the nation’s intermodal freight transportation systems, in order to strengthen nation’s
economic competitiveness.

The Freight Mobility Research Institute’s (FMRI) contribution focuses on promoting smart cities, improving multimodal connections, system integrations and security, data modeling, and analytical tools. The ultimate goal of the FMRI is to optimize freight movements for improving the overall freight transportation efficiency. The FMRI's mission is to address critical issues affecting planning, design, operation, and safety of the nation’s intermodal freight transportation systems, in order to strengthen nation’s
economic competitiveness.

The Freight Mobility Research Institute’s (FMRI) contribution focuses on promoting smart cities, improving multimodal connections, system integrations and security, data modeling, and analytical tools. The ultimate goal of the FMRI is to optimize freight movements for improving the overall freight transportation efficiency. The FMRI's mission is to address critical issues affecting planning, design, operation, and safety of the nation’s intermodal freight transportation systems, in order to strengthen nation’s
economic competitiveness.

Lately, the attractiveness of cities has contributed to a rise in vehicle movements to and from cities. The growth of freight movements in cities predictably will be one of the critical issues of the near future. Congestion caused by the increased movements of freight impacts the flow of private and transit vehicles. Thus, it is crucial to reduce the congestion on multimodal corridors. Components of the Intelligent Transportation System (ITS) such as Freight Signal Priority (FSP) and Transit Signal Priority (TSP) that promote the freight and transit vehicles may not only help solve these conditions but may assist with the sustainability of the system. The primary objective of this research is to develop guidelines for traffic agencies to implement signal priorities based on identified decision factors on certain corridors. Besides, this study evaluates the efficiency of FSP and TSP in improving the performance of freight and transit systems. Finally, inclusive guidelines are drawn up based on the literature and the conducted simulation. The developed guidelines apply to corridors where freight delay plays a vital role in the assessment of corridor benefits.