The safety effects of cooperative intelligent transport systems (C-ITS) are mostly unknown and associated with uncertainties, because these systems represent emerging technology. This study proposes a bowtie analysis as a conceptual framework for evaluating the safety effect of cooperative intelligent transport systems. These seek to prevent road traffic accidents or mitigate their consequences.
Research has established a potential to reduce vehicle miles traveled (VMT) by replacing passenger travel for shopping with delivery service, and a few studies have indicated CO2 emissions can also be reduced. However, that research has mostly focused on urban locations and has not addressed criteria pollutants.
In recent years the focus on and prioritization of the notion of local food, food access and sustainability has been increasing throughout the U.S., especially in urban areas. The rising demand and growing preference for local produce in turn leads to changes in how we transport food. The supply chains found in urban areas are already complicated and costly, and as demand changes this poses a challenge if the local food movement is to be accommodated in our cities.
The outer coast of Washington State is exposed to significant seismic and tsunami hazard. A Cascadia 24 Subduction Zone (CSZ) event is expected to cause high earthquake intensities and tsunami inundation 25 resulting in considerable infrastructure loss, inundation of developed land, and degraded functioning of 26 coastal communities.
Pick-up and delivery operations are an essential part of urban goods movements. However, rapid urban growth, increasing demand, and higher customer expectations have amplified the challenges of urban freight movement. In recent years, the industry has emphasized improving “last-mile” operations with the intent of focusing on what has been described as the last leg of the supply chain.
Freight Performance Measures (FPM) are of interest to transportation planning agencies. One of the key tools that aids in the study of freight system activity is the data from Global Positioning System (GPS) devices located in trucks and cars. While commercially available GPS data has a common basic output format, the level of aggregation of the raw data, impacts the data’s ultimate usability and applications.
This research report investigates the relationship between pedestrians and bicyclists on paths parallel to railroad tracks and with a road perpendicular to the path. The possible conflicts at intersections within these design parameters are of concern to ODOT, and therefore, has been recognized as an opportunity to conduct research that improves this type of intersection.
This report provides a guidebook for conducting benefit-cost analyses of proposed infrastructure investments on multimodal, multijurisdictional freight corridors for public and private decision makers and other stakeholders at local, state, regional, and national levels in order to arrive at more informed investment decisions.
The objective of this paper is to develop a methodology for forecasting freeway vehicle travel time reliability for transportation planning using probe GPS data. Travel time reliability is measured using the coefficient of variation of the GPS spot (instantaneous) speed distribution. The proposed approach establishes relationships between travel time reliability and roadway traffic density in order to forecast reliability given future traffic conditions.