2005Unpublished venueRequires access

A COMPLETE REVIEW OF INCIDENT DETECTION ALGORITHMS & THEIR DEPLOYMENT: WHAT WORKS AND WHAT DOESN'T

Emily Parkany, Chi Xie

Open publisher page 81 citations

Abstract

The purpose of this report is to assess the strengths and limitations of available sensor technologies and their corresponding processing algorithms. The performance of an incident detection system is determined on two levels: data collection technologies and data processing algorithms. Variations in sensor-and-algorithm schemes result in a variety of solutions for incident detection. In this report, three categories (roadway-based, probe-based and driver-based) incident detection technologies and their corresponding algorithms are reviewed and evaluated. The capability, accuracy, reliability and cost of available sensor technologies are emphasized. A variety of algorithms associated with these technologies are also investigated in terms of their performance and ease of implementation. Responses to a nationwide online survey of traffic management centers (TMCs) and traffic operations centers (TOCs) across the U.S., provide first-hand information regarding experiences and problems of implementation. The report includes consideration of incident detection on arterial roads and the use of section-related data in incident detection.

About this research paper

What this paper is about

The purpose of this report is to assess the strengths and limitations of available sensor technologies and their corresponding processing algorithms. The performance of an incident detection system is determined on two levels: data collection technologies and data processing algorithms. Variations in sensor-and-algorithm schemes result in a variety of solutions for incident detection. In this report, three categories (roadway-based, probe-based and driver-based) incident detection technologies and their corresponding algorithms are reviewed and evaluated. The capability, accuracy, reliability and cost of available sensor technologies are emphasized. A variety of algorithms associated with these technologies are also investigated in terms of their performance and ease of implementation. Responses to a nationwide online survey of traffic management centers (TMCs) and traffic operations centers (TOCs) across the U.S., provide first-hand information regarding experiences and problems of implementation. The report includes consideration of incident detection on arterial roads and the use of section-related data in incident detection.

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OpenAlex reports 81 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The purpose of this report is to assess the strengths and limitations of available sensor technologies and their corresponding processing algorithms. The performance of an incident detection system is determined on two levels: data collection technologies and data processing algorithms. Variations in sensor-and-algorithm schemes result in a variety of solutions for incident detection. In this report, three categories (roadway-based, probe-based and driver-based) incident detection technologies and their corresponding algorithms are reviewed and evaluated. The capability, accuracy, reliability and cost of available sensor technologies are emphasized. A variety of algorithms associated with these technologies are also investigated in terms of their performance and ease of implementation. Responses to a nationwide online survey of traffic management centers (TMCs) and traffic operations centers (TOCs) across the U.S., provide first-hand information regarding experiences and problems of implementation. The report includes consideration of incident detection on arterial roads and the use of section-related data in incident detection.

Key concepts: Variety (cybernetics), Computer science, Software deployment, Algorithm, Reliability (semiconductor), Incident management, Data mining, Real-time computing

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