This paper explores drivers' knowledge regarding The righT of way aT freeway on-ramp merging areas, including Their acTions when driving aT Those areas. a sample of 530 ohio drivers parTicipaTed in mail and online surveys ThaT assessed Their demographic characTerisTics, knowledge of righT of way, and merging pracTices. inTroducTion Motor vehicle crashes are one of the leading causes of death in...

have used either revealed preference or stated preference data and various forms of logit choice models (e.g., multinomial, nested, and mixed random effect) to identify marginal rates of substitution between travel time and the price of a trip. It is intuitive that the value of travel time is not constant in all situations. Previous studies suggest it varies by assorted trip characteristics inc...

The use of connected autonomous vehicles (CAVs) can help reduce the gaps between vehicles. However, smaller may cause challenges for on-ramp to merge on freeway. This study introduces several strategies that allow safely and efficiently with mainline by providing adequate merging or resolving conflicts in a mixed traffic environment. Eight methods are proposed facilitate merging. These simulate...

Traffic congestion has been a worldwide problem in metropolitan areas all over the world. Toll-based traffic management is one of the most applicable solutions against freeway congestion. This research chooses two toll roads, the SR-167 HOT Lane and the SR-520 toll Bridge (i.e. Evergreen Point Bridge), as study sites for simulation testbed developments to evaluate the toll impact on freeway ope...

Short-term travel time prediction is very important to the real time travelers’ information and route guidance system. Various methodologies have been developed for dynamic travel time prediction. However, most of the existing studies presume that path travel time is the simple addition of travel times on the consisting links. Through simulation, it is shown that, under recurrent traffic condit...

Data marketplaces provide platforms for management of large data sets. The data markets are rapidly growing, yet the pricing strategies for data and data analytics are not yet well-understood. In this paper, we explore some of the pricing schemes applicable to data marketplaces in the context of transportation traffic data. This includes historical and real-time freeway and arterial congestion ...

The paper presents a systematic derivation of macroscopic equations for freeway traffic flow from an Enskog-like kinetic approach. The resulting fluid-dynamic traffic equations for the spatial density, average velocity, and velocity variance of vehicles are compared to equations, which can be obtained from a microscopic force model of individual vehicle motion. Simulation results of the models ...

There has been considerable research conducted in recent years into establishing relationships between crashes and various traffic flow characteristics for freeway segments. Most of the research has focused on determining the relationship between crashes and highway traffic volumes, while little attention has been focused on the relationships of vehicle density, level of service (LOS), vehicle ...

Many transportation agencies take part in the freeway incident management (IM) process by deploying safety service patrols (SSPs), typically on highly congested, urban roadways. SSPs are a countermeasure to freeway operations problems, and their implementation can improve safety and mitigate congestion. They are typically deployed in areas that have high traffic volumes (e.g., urban freeways) a...

Several transportation agencies are currently estimating freeway travel times using data provided by inductive loop detectors. These point detectors typically report only aggregated values of volume, lane occupancy, and time-mean-speed at relatively short polling intervals. Travel time estimation methods that assume speeds measured at points are representative of actual travel speeds over segme...