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Title:

Assessing Highway Travel Time Reliability using Probe Vehicle Data

Accession Number:

01660523

Record Type:

Component

Availability:

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Order URL: http://worldcat.org/issn/03611981

Abstract:

Probe vehicle data (also known as “floating car data”) can be used to analyze travel time reliability of an existing road corridor in order to determine where, when, and how often traffic congestion occurs at particular road segments. The aim of the study is to find the best reliability performance measures for assessing congestion frequency and severity based on probe data. Pilot surveys conducted on A2 motorway in Poland confirm the usefulness and reasonable accuracy of probe data for measuring speed variation in both congested and free-flowing traffic. Historical probe vehicle data and traditional traffic counts from Polish S6 expressway were used to analyze travel time reliability on its 24 road sections. Travel time indexes and reliability ratings for the whole year 2016 were calculated to identify segments with lower reliability and higher expected delay. It is concluded that unlike the HCM-6 method, travel times obtained from probe data should be averaged in 1-hour intervals. Delay index is proposed as a new reliability indicator for road segments. Delay map diagrams are recommended for showing how the congestion spots move in space and with time of day.

Report/Paper Numbers:

18-03962

Language:

English

Authors:

Olszewski, Piotr
Dybicz, Tomasz
Jamroz, Kazimierz
Kustra, Wojciech
Romanowska, Aleksandra

Pagination:

pp 118-130

Publication Date:

2018

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Volume: 2672
Issue Number: 15
Publisher: Sage Publications, Incorporated
ISSN: 0361-1981
EISSN: 2169-4052
Serial URL: http://journals.sagepub.com/home/trr

Media Type:

Print

Features:

Figures (8) ; Maps; References (20) ; Tables (2)

Geographic Terms:

Subject Areas:

Data and Information Technology; Highways; Planning and Forecasting

Files:

TRIS, TRB, ATRI

Created Date:

Jan 8 2018 10:59AM

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