Multimodal data fusion (MMDF) is the process of combining disparate data streams (of
different dimensionality, resolution, type, etc.) to generate information in a form that is more …

Continuous, automatic measurements of road traffic volume allow the obtaining of
information on daily, weekly or seasonal fluctuations in road traffic volume. They are the …

The era of autonomous vehicles infer new challenges in several fields. When autonomous
vehicles take over the road in a large volume, consumer preferences around car-ownership …

The estimation and analysis of road traffic represent the preliminary steps towards satisfying
the current needs for smooth, safe, and green transportation. Therefore, effective traffic …

This paper presents a framework for the development of the travel time estimation model
using multiple sources of data with consideration of spurious data and traffic conditions. A …

Estimating accurate travel time information is one of the fundamental tasks in controlling city
traffic. In general, fuzing multiple sensors can generate more accurate information to …

In India, traffic on roads is mixed in nature with widely varying static and dynamic
characteristics of vehicles. At intersections, vehicles do not follow ordered queue and lane …

Signal control is a basic need for urban traffic control; however, it is a very rough intervention
in the free flow of traffic, which often results in queues in front of signal heads. The general …

Applying the current technological possibilities has led to a wide range of traffic monitoring
systems. These heterogeneous data sources individually provide a view on the current traffic …

This study aims at modelling unassisted drivers' speed at the yellow onset to enhance
Connected and Autonomous Vehicles applications at signalised intersections and maximise …