A sustainable city is a smart city with a minimal impact on the environment, by incorporating
technologies to reduce pollution. Traffic congestion which is a major concern contributes to …

Effective traffic congestion prediction is need of the hour in a modern smart city to save time
and improve the quality of life for citizens. In this study, AB_AO (ARIMA Bi‐LSTM using …

IoT devices collect time-series traffic data, which is stochastic and complex in nature. Traffic
flow prediction is a thorny task using this kind of data. A smart traffic congestion prediction …

Traffic flow prediction is the most critical part of any traffic management system in a smart
city. It can help a driver to pick the most optimized way to their target destination. Air pollution …

The continuous growth of urban populations has led to the persistent problem of traffic
congestion, which imposes adverse effects on quality of life, such as commute times, road …

Road traffic flow forecasting is among the most important use case associated with smart
cities. Traffic forecasting allows drivers to select the fastest route towards their target …

IoT-based Intelligent transport system (ITS) is an innovative solution to urban traffic problems
by providing different modes of traffic, traffic management and enabling the user to be …

Because of the population increasing so high, and traffic density remaining the same, traffic
prediction has become a great challenge today. Creating a higher degree of communication …

The major challenge in metro cities is to handle the vehicle traffic as well as pedestrian traffic
at major locations. Over a day nearly 20% time is spend in our work or personal time to over …

In intelligent transportation systems, traffic management is an important task. The accurate
forecasting of traffic characteristics like flow, congestion, and density is still active research …