The effectiveness of traditional incident detection is often limited by sparse sensor coverage,
and reporting incidents to emergency response systems is labor-intensive. We propose to …

We present a method to predict the time that will be needed to traverse a given section of a
freeway when the departure is at a given time in the future. The prediction is done on the …

First published in 1995, the award-winning Civil Engineering Handbook soon became
known as the field's definitive reference. To retain its standing as a complete, authoritative …

The freeway accident detection and classification have attracted much attention of
researchers in the past decades. With the popularity of Global Navigation Satellite System …

A major source of urban freeway delay in the US is non-recurring congestion caused by
incidents. The automated detection of incidents is an important function of a freeway traffic …

An image processing and object tracking approach is proposed for the design of a video-
based freeway traffic monitoring system. Proper estimation of the traffic speed in different …

Abstract Vehicular Ad-Hoc Networks (VANETs) are an emerging technology soon to be
brought to everyday life. Many Intelligent Transport Systems (ITS) services that are …

This paper describes a freeway incident detection scheme that does not rely on complicated
theories. The procedure compares the occupancy information recorded by two neighboring …

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 presents a hybrid approach to automatic incident detection (AID) in transportation
systems. It combines time series analysis (TSA) and machine learning (ML) techniques in …