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Title:

Incident Detection for Congested Motorways

Accession Number:

01557548

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

This paper presents a novel method which filters and extracts the non-recurrent traffic features from the recurrent traffic congestion. A number of existing incident algorithms assume the motorway is in free-flow and hence the incidents are identified by detecting surges in density measurements. Nevertheless, this free-flow assumption is not generally applicable in particular when considering congested sections. The algorithm is tested on the busy London’s orbital motorway M25 with loop detector measurements and historic incident logs. This study contributes to the development of advanced incident detection and management techniques.

Supplemental Notes:

This paper was sponsored by TRB committee AHB20 Freeway Operations.

Monograph Accession #:

01550057

Report/Paper Numbers:

15-2410

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Karantanos, Michail
Chow, Andy H F

Pagination:

22p

Publication Date:

2015

Conference:

Transportation Research Board 94th Annual Meeting

Location: Washington DC, United States
Date: 2015-1-11 to 2015-1-15
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Identifier Terms:

M25 Motorway

Geographic Terms:

Greater London

Subject Areas:

Highways; Operations and Traffic Management; I73: Traffic Control

Source Data:

Transportation Research Board Annual Meeting 2015 Paper #15-2410

Files:

TRIS, TRB, ATRI

Created Date:

Dec 30 2014 12:51PM