Due to the increase in vehicle transit and congestion in road networks, providing information
about the state of the traffic to commuters has become a critical issue for Advanced Traveller …

Traffic flow in major urban roads is affected by several factors. It is often interrupted by
stochastic conditions, such as traffic lights, road conditions, number of vehicles on the road …

This paper presents two algorithms to estimate traffic state in urban street networks with a
mixed traffic stream of connected and unconnected vehicles and incorporates them in a real …

This paper presents a Bayesian inference-based dynamic linear model (DLM) to predict
online short-term travel time on a freeway stretch. The proposed method considers the …

To improve the prediction accuracy of traffic flow, a travel time prediction model based on
gradient boosting decision tree (GBDT) is proposed. In order to test the applicability of …

Traditional technologies, such as inductive loop detectors, do not usually produce
measurements of the quality required by real-time applications. Therefore, one wonders …

An important aspect of Intelligent Public Transportation Systems (IPTS) is providing accurate
travel time information. Knowing arrival times of public vehicles in advance can reduce …

Automotive traffic monitoring using probe vehicles with Global Positioning System receivers
promises significant improvements in cost, coverage, and accuracy. Current approaches …

Cell-phones equipped with a global positioning system (GPS) provide new opportunities for
location-based services and traffic estimation. When traveling on-board vehicles, these …

This paper presents a cumulative travel-time responsive (CTR) real-time intersection control
algorithm that takes full advantage of connected vehicles (CVs). The potential benefits of the …