This research presents a model to predict the influence of demand and capacity on the running speed of signalized arterials in Montgomery County, Maryland. The model separates the changes to link running speed due to same-direction traffic and intersection approach delay from cross traffic. It is found that flow has a small impact on link speed, each 1000 vehicles per lane per hour reduces spee...

The dynamics of agent-based systems provide a framework to face the complexity of pedestrian/vehicle interactions in future cities, in which the compliance to traffic norms plays a fundamental role. The data of an observation performed at a non-signalized intersection are presented to provide useful insights for supporting the future development of agent-based models. Results focus on drivers’ ...

Most of the cities of developing countries are facing serious noise pollution problem, due to the concentration of motor vehicles and human population within the limited urban areas. The study presents the status of noise pollution at selected signalized intersections of Nashik city, Maharashtra, India. The study is conducted using sound level meter and simultaneously classified traffic volume ...

This research presents a model to predict the influence of demand and capacity on the running speed of signalized arterials in Montgomery County, Maryland. The model separates the changes to link running speed due to same-direction traffic and intersection approach delay from cross traffic. It is found that flow has a small impact on link speed, each 1000 vehicles per lane per hour reduces spee...

Automated driving systems have become a potential approach to mitigating collisions, emissions, and human errors in mixed-traffic environments. This study proposes the use of deep reinforcement learning method verify effects comprehensive automated vehicle movements at non-signalized intersection according training policy measures effectiveness. integrates multilayer perceptron partially observ...