In the last few years, there has been an exponential increase in the usage of the
autonomous vehicles across the globe. It is due to an exponential increase in the popularity …

Short term traffic flow forecasting has received sustained attention for its ability to provide the
anticipatory traffic condition required for proactive traffic control and management. Recently …

Accurate forecasting of future traffic flow has a wide range of applications, which is a
fundamental component of intelligent transportation systems. However, timely and accurate …

Two models employing Kalman filtering theory are proposed for predicting short-term traffic
volume. Prediction parameters are improved using the most recent prediction error and …

The capability to forecast traffic volume in an operational setting has been identified as a
critical need for intelligent transportation systems (ITS). In particular, traffic volume forecasts …

This paper attempts to develop time-series models for forecasting traffic volume in urban
arterials. The Box-Jenkins approach is used to estimate the time-series models. A 1-min …

After reviewing the problem of short-term traffic forecasting a non-parametric regression
method, the k-nearest neighbor (k-NN) approach is suggested as a candidate forecaster that …

Several univariate and multivariate models have been proposed for performing short-term
forecasting of traffic flow. Two different univariate [historical average and ARIMA …

The efficient control of traffic on motorways or freeways can produce many benefits,
including quicker journey times, fewer pollutant emissions, and reduced driver stress. If it …

For the first time, real-time high-fidelity spatiotemporal data on transportation networks of
major cities have become available. This gold mine of data can be utilized to learn about …