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Tytuł pozycji:

Exploring Correlations between Travel Time Based Measures by Year, Day-of-the-week, Time-of-the-day, Week-of-the-Year and the Posted Speed Limit

Tytuł:
Exploring Correlations between Travel Time Based Measures by Year, Day-of-the-week, Time-of-the-day, Week-of-the-Year and the Posted Speed Limit
Autorzy:
Srinivas Pulugurtha
Krupanidhi Koilada
Temat:
travel time
reliability
variation
average
bt
bti
pti
City planning
HT165.5-169.9
Transportation and communications
HE1-9990
Źródło:
Urban, Planning and Transport Research, Vol 9, Iss 1, Pp 1-17 (2021)
Wydawca:
Taylor & Francis Group, 2021.
Rok publikacji:
2021
Kolekcja:
LCC:City planning
LCC:Transportation and communications
Typ dokumentu:
article
Opis pliku:
electronic resource
Język:
English
ISSN:
2165-0020
21650020
Relacje:
https://doaj.org/toc/2165-0020
DOI:
10.1080/21650020.2020.1845230
Dostęp URL:
https://doaj.org/article/807342b48aed4e639eb4d11c91b9888c  Link otwiera się w nowym oknie
Numer akcesji:
edsdoj.807342b48aed4e639eb4d11c91b9888c
Czasopismo naukowe
This research explores correlations between travel time-based measures, comprehensively, by year, day-of-the-week (DoW), time-of-the-day (ToD), week-of-the-year (WoY), and the posted speed limit using raw one-minute interval travel time data for 3,290 road links in Charlotte, North Carolina. The data were processed, normalized, and categorized into 57 datasets accounting for the year, DoW, ToD, WoY, and the posted speed limit. Pearson correlation coefficient matrices were generated to explore the correlations between travel time measures (minimum, maximum, and average; 10th, 15th, 50th, 85th, 90th, and 95th percentile travel times), travel time reliability measures (buffer time – BT, buffer time index – BTI, planning time index – PTI, and travel time index – TTI), and travel time variability measures (based on 90th, 85th, 15th and 10th percentile travel times). The percentages based on scores associated with the correlations were also examined. Travel time measures and travel time variability measures are moderately or highly correlated with each other. BT is moderately or highly correlated with all other measures, while the correlation between BTI, PTI and TTI and travel time measures is relatively low. There is a positive correlation between BTI and PTI and a negative correlation between BTI and TTI in most instances.

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