Recent estimates hypothesize that the US will need $1.6 trillion dollars for the rehabilitation,
replacement, and maintenance of existing infrastructure systems within the next 20 years …

Artificial neural networks are known to be effective in solving problems involving pattern
recognition and classification. The traffic incident‐detection problem can be viewed as …

An improved freeway incident‐detection model is presented based on speed, volume, and
occupancy data from a single detector station using a combination of wavelet‐based signal …

The focus of this paper is the context in which the decision makers for traffic management
centers (TMCs) choose whether to include and/or use automatic incident detection (AID) …

This paper describes incident detection algorithms for urban arterial streets using two
distinct data sources: fixed traffic detectors and probe vehicles. The data sources are used …

The structure and performance of existing freeway incident detection methods are reviewed
and a new method is proposed. The new method reduces the likelihood of false incident …

Abstract The simulation of Advanced Transport Telematic Applications requires specific
modelling features, which have not been usually taken into account in the design of …

Automatic Incident Detection is one of the major challenges in urban freeway operations. In
spite of recent efforts worldwide, fast and reliable Automatic Incident Detection has been …

An intelligent transportation system (ITS) offers considerable opportunities for increasing the
safety, efficiency, and predictability of traffic flow and reducing vehicle emissions. Sensors …

Urban traffic congestion and vehicle/passenger port recurring delays are major obstacles of
coastal urban area sustainability. Most research in coastal urban road management has …