Traffic forecasting is important for the success of intelligent transportation systems. Deep
learning models, including convolution neural networks and recurrent neural networks, have …

Road congestion induces significant costs across the world, and road network disturbances,
such as traffic accidents, can cause highly congested traffic patterns. If a planner had control …

Traffic congestion has significant economic, environmental, and social ramifications.
Intersection traffic flow dynamics are influenced by numerous factors. While microscopic …

Traffic flow dynamics in the vicinity of urban arterial intersections is a complex and nonlinear
phenomenon, influenced by factors such as signal timing plan, road geometry, driver …

Traffic congestion has significant impacts on both the economy and the environment.
Measures of Effectiveness (MOEs) have long been the standard for evaluating the level of …

Queue Length Estimation along urban arterials is vital to city traffic planners for calculating
'Level of Service'measures and optimizing signal plans to alleviate congestion. While …

In an era defined by rapid urbanization and ever-increasing mobility demands, effective
transportation management is paramount. This book takes readers on a journey through the …

As publicly available cars gain semi-autonomous capabilities and companies promise to
deliver fully autonomous vehicles in the near future, it is important to understand the effects …

The goal of my research is to enhance urban mobility by developing reliable and efficient
traffic control and management strategies. As cities grow everywhere, and urban roadways …