traffic

This policy brief provides a statewide assessment of freight movement on all traffic congestion, and defines freight impact areas as severely congested roadway corridors with high volumes of trucks.

Researchers developed traffic simulation models that allowed them to evaluate the impact of new traffic flow control systems, vehicle routing, and other technologies on the efficiency of the transportation system.

This study models the active transportation and vehicular travel traveling modes in a multi-modal network problem taking into account TNC services, such as, e-hailing, e-pooling, and express pool. The objective is to analyze passengers' choices among active transportation, solo driving, and TNC services, considering various trade-offs related to health, monetary, time, and inconvenience costs, and their subsequent impacts on traffic network performance.

In this study, the researchers examined traffic volumes and patterns in Yosemite Valley, the heart of Yosemite National Park.

This paper examines the monetary costs of these innovations for users in the near-term and how they may evolve in the long-term.

This study approaches the problem of quantifying the network sensor errors as a supervised learning problem and leveraging deep neural networks to map observed traffic flow counts to the systematic errors in the sensors. The author aims at building a model that could reconstruct the erroneous flow irrespective of the level of random noise in the sensors, which is unknown in the real-world.