Highway versus urban roads: Analysis of travel time and variability patterns based on facility type

M. Anil Yazici, Camille Kamga, Kaan Ozbay

Research output: Chapter in Book/Report/Conference proceedingChapter


In this study, the differences in travel time variability patterns between urban roads and highways w ere analyzed. For urban roads, a GPS data set that included all taxi trips in New York City was used. For highways, automatic vehicle location data from the New Jersey Turnpike w ere used. The turnpike was divided into two sections, urban and suburban highway, according to urbanization level, time-of-day demands, and physical roadway features. The analysis not only compared travel time patterns for highways and urban roads but also investigated travel time charac- teristicsalong tbesame highway facility. First, the temporal variations of travel times on both facility types were calculated and compared. Second, the travel time distributions were extracted for various time periods and compared visually to determine the distributional patterns. Finally, the relationship between the average travel time and variability was investigated. Not only did travel time patterns differ between urban roads and highways, but major differences in travel time characteristics could be observed along the same highway. Higher travel times corresponded to lower reliability on highways yet corresponded to higher reliability on urban roads. Overall, the findings suggest that attributing differences in travel time variability patterns to facility type may be an oversimplification of the phenomenon. .

Original languageEnglish (US)
Title of host publicationTransportation Research Record
PublisherNational Research Council
Number of pages9
ISBN (Electronic)9780309295321
StatePublished - 2014

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Mechanical Engineering


Dive into the research topics of 'Highway versus urban roads: Analysis of travel time and variability patterns based on facility type'. Together they form a unique fingerprint.

Cite this