An Investigation of Measurement for Travel Time Variability

Chien, Steven; Liu, Xiaobo

doi:10.5772/27683

Cited by 6 publications

(2 citation statements)

References 8 publications

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“…However, the same set of factors affects both reliability and variability. Researchers use probe vehicles, Bluetooth, GPS, and similar technology to analyze randomness in travel time (2,3,(9)(10)(11)(12). Studies agree that average travel times as well as travel time variability fluctuate with respect to various factors, such as time of day and day of week, weather, incidents, traffic demand, roadway geometry, existence of traffic signals, and facility type (freeway versus arterial).…”

Section: Literature Reviewmentioning

confidence: 99%

Highway versus Urban Roads

Yazici

Kamga

Özbay

2014

Transportation Research Record

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In this paper, the differences in travel time variability patterns between urban roads and highways are analyzed. For urban roads, a GPS dataset which includes all taxi trips in New York City is used. For highways, New Jersey Turnpike (NJTP) Automatic Vehicle Location data is employed. Moreover, NJTP is divided into two sections as urban and suburban highway based on urbanization level, time of day demands, and physical roadway features. Hence, the analysis does not only compare the travel time patterns between highways and urban roads, but also investigates the travel time characteristics along the same highway facility. First, the temporal variation of travel times at both facility types are calculated and compared. Second, the travel time distributions are extracted for different time periods and compared visually to determine the distributional patterns. Last, the relationship between the average travel time and variability is investigated. Travel time patterns not only differ between urban roads and highways, but major differences in travel time characteristics can also be observed along the same highway. Higher travel times correspond to lower reliability at the highways, yet correspond to higher reliability at the urban roads. Overall, the findings suggest that attributing travel time variability pattern differences to facility type may actually be an oversimplification of the phenomenon.

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Section: Literature Reviewmentioning

confidence: 99%

Highway versus Urban Roads

Yazici

Kamga

Özbay

2014

Transportation Research Record

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“…The work showed that the resulting relationship between TTV and its explanatory variables can be used in transport-related CBA. Chien and Liu (2012) investigated the measurement of TTV and reliability with Floating Car Data (FCD) which involves the use of statistical formulas for generating suitable reliability indicators such as mean, standard deviation, 95 th percentile and buffer index. The result obtained proved that FCD is an applicable tool for collecting travel time.…”

Section: Literature Reviewmentioning

confidence: 99%

Investigation and Analysis of Travel Time Variability of Selected Road Intersection

2019

IJTTE

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This study investigated the dynamic dependence of travel time variability on the route capacity of a monitored road section. This was with a view to providing a better understanding of travel time variability on road sections and, hence, a possible way of dynamically reducing traffic congestion. A typical road intersection was investigated using video method and license plate matching technique. Analysis of travel time distribution on the road axes were conducted during peak periods for five working days. The results obtained indicate that the peak flow rate of traffic was inversely proportional to the degree of variation in travel times, which serve in the ordering and dynamic allocation of times per route of the selected road intersection.

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